{"qid": "dsfull-003", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "464ffccbc953656807eb929415ffe9d5f51908054f7e7f1d51db3deb95ed4a2a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four jurisdictions that meet the criteria: Michigan, Pennsylvania, Arizona, and Georgia. It also correctly explains the average electoral votes and why Wisconsin is excluded.\",\n \"Correctness Details\": {\n \"Michigan\": true,\n \"Pennsylvania\": true,\n \"Arizona\": true,\n \"Georgia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 996, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 107, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.647} {"qid": "dsfull-002", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "65b6a72c0628de50aea3c180af6ba5c0c38f49075afcd0f2cd2df5d3b18bfff9", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Solomon Islands'. However, it missed 'Vanuatu' and included 'Kiribati' and 'Kyrgyzstan' which are not in the correct answer set.\",\n \"Correctness Details\": {\n \"Solomon Islands\": true,\n \"Vanuatu\": false\n },\n \"Excessive Answers\": [\n \"Kiribati\",\n \"Kyrgyzstan\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1015, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 119, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 2, "false_negatives": 1, "precision": 0.3333333333333333, "recall": 0.5, "f1": 0.4, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.768} {"qid": "dsfull-000", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "758597b1feaf237f3e8eea4535c9b59b6a2485198e645e5fcbf423ed0f453c11", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Senator Gustavo Rivera and Senator Anthony H. Palumbo. However, it missed Senator Samra G. Brouk and incorrectly included Peter Oberacker.\",\n \"Correctness Details\": {\n \"Senator Samra G. Brouk\": false,\n \"Senator Gustavo Rivera\": true,\n \"Senator Anthony H. Palumbo\": true\n },\n \"Excessive Answers\": [\n \"Peter Oberacker\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 897, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 121, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 1, "precision": 0.6666666666666666, "recall": 0.6666666666666666, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.867} {"qid": "dsfull-004", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "25ee776a12f4d9109dc6ee5422e382b2a2b566464e22ff198e57ccd6c363a193", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response provided locations (Freeport, San Luis Pass, Galveston, Texas) for Tropical Storm Nicholas, which are incorrect. The correct answer identifies Alligator Point, St. George Island, and Shell Point with specific wind gusts, which are entirely different from the AI's response.\",\n \"Correctness Details\": {\n \"Alligator Point - 58 MPH\": false,\n \"St. George Island - 54 MPH\": false,\n \"Shell Point - 53 MPH\": false\n },\n \"Excessive Answers\": [\n \"Freeport, Texas\",\n \"San Luis Pass, Texas\",\n \"Galveston, Texas\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 945, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 171, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 3, "false_negatives": 3, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 2.055} {"qid": "dsfull-001", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "dbb2547bdef1dc9924ab981d0620d2f066dced65714f00a1a0387c6d1f5e73c3", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Quebec, Montreal, and Vancouver as the metropolitan areas that meet all the specified criteria. The response also provides a table showing the values for each industry in these areas, confirming they exceed the given thresholds.\",\n \"Correctness Details\": {\n \"Quebec\": true,\n \"Montreal\": true,\n \"Vancouver\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1065, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 110, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.557} {"qid": "dsfull-006", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2600ad9243d8e289808c5a81f15b69af09ef51f5ba76fc36a475a2189ad56ae9", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Norway as the country with the largest numerical increase in threatened species, which matches the provided correct answer. The response also includes supporting data in a table.\",\n \"Correctness Details\": {\n \"Norway\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 970, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 85, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.193} {"qid": "dsfull-007", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8e6b03525915f320f1c8b93b73f2bc46a2a5ec08b8682504d7061b7859bc7ca1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the local authority areas listed in the correct answer: Ashfield, Leicester, Mansfield, and Derby. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Ashfield\": true,\n \"Leicester\": true,\n \"Mansfield\": true,\n \"Derby\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1015, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 106, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.256} {"qid": "dsfull-008", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "43436952d5b25f362842dcec7add5413f043528b2ef1ef8a8d77f079fd337a76", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Balistes capriscus' and 'Labrus viridis' from the correct answer set. However, it missed 'Carcharhinus limbatus', 'Epinephelus marginatus', and 'Torpedo marmorata'. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Balistes capriscus (Grey triggerfish)\": true,\n \"Carcharhinus limbatus (Blacktip shark)\": false,\n \"Epinephelus marginatus (Dusky grouper)\": false,\n \"Labrus viridis (No common name listed)\": true,\n \"Torpedo marmorata (Marbled electric ray)\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1013, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 186, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 3, "precision": 1.0, "recall": 0.4, "f1": 0.5714285714285715, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.533} {"qid": "dsfull-009", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7719fec7b8638a654d146171fea32dbe9a4e67b7ec3fd615acf075d0332133fc", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Central African Republic' as the answer, which matches the provided correct answer. The AI also correctly mentions that it could not fully verify its membership in both requested top-five death-rate rankings. The response does not contain any excessive answers.\",\n \"Correctness Details\": {\n \"Central African Republic\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 986, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 106, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.121} {"qid": "dsfull-010", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "fd6c93cb22884e7b4b835819e0dd43ab668ee04b7c90c796e4e5443e388179e1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the University of Wyoming as having the highest total cost of attendance, which matches the correct answer.\",\n \"Correctness Details\": {\n \"University of Wyoming\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1022, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 76, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.261} {"qid": "dsfull-011", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9c6789ec56598b307efbefee715fee7aa850740ae5d9206a3b0a92c34775c326", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response provided 'Medical hazards of air travel' as the title of the geneticist's first publication in The Practitioner, which is incorrect. The correct answer is 'Amitriptyline poisoning treated by forced diuresis.'\",\n \"Correctness Details\": {\n \"Amitriptyline poisoning treated by forced diuresis.\": false\n },\n \"Excessive Answers\": [\n \"Medical hazards of air travel\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1121, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 117, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.203} {"qid": "dsfull-012", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "95bb487ba62c7280e40245cd234ca84fccb621d78b7afc6b4f1e2d3234abd2b1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 86 certiorari denials, which matches the provided correct answer. It also provides additional context about the technical breakdown, but the final answer is correct.\",\n \"Correctness Details\": {\n \"86\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 897, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 86, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.198} {"qid": "dsfull-014", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4977d5056b122fd33d6b924f2bdfcf780e677e0778a39826a66dc989589f5637", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'STEM fields' as the general academic field, which aligns with the correct answer. The AI also correctly identified the country (Germany) which is a sender and receiver of international students.\",\n \"Correctness Details\": {\n \"STEM fields\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 963, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 93, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.343} {"qid": "dsfull-015", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "44f0baf0a5188c9212d3580b589e02ec317908b3969b7283c7d4278b791024e4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response states that it could not reliably complete the comparisons requested in the prompt. It provides a 'best unverified prediction' for the common causes of death. The predicted causes, 'Cardiovascular diseases' and 'Lower respiratory infections', are presented as an 'unverified prediction' rather than a definitive answer derived from the requested data. One of the correct answers, 'COVID-19', is not mentioned at all. While 'Cardiovascular diseases' is present, the AI explicitly states its unverified nature, indicating it did not successfully derive the answer as requested.\",\n \"Correctness Details\": {\n \"Cardiovascular diseases\": false,\n \"COVID-19\": false\n },\n \"Excessive Answers\": [\n \"Lower respiratory infections\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1372, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 187, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 2, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.538} {"qid": "dsfull-016", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "849358a287dfcef86d92ecad70f591ad63f3ed0d4f00ebf4d8add01f8d2d356a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Keurig Dr Pepper Inc. as the company that executed the most share repurchases, which matches the provided correct answer.\",\n \"Correctness Details\": {\n \"Keurig Dr Pepper Inc.\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1014, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 85, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.552} {"qid": "dsfull-018", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4d2b21f0a7592622c57260c5791fa96a2449439c5cc14f058cd4977016ab8a36", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the title and author of the poem as 'Preparedness, by Edwin Markham', which matches the correct answer exactly.\",\n \"Correctness Details\": {\n \"Preparedness, by Edwin Markham\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 987, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 83, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.277} {"qid": "dsfull-013", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8a53b3f96d28c3d8dd40cb5fee0afe7dacccadbd6ebda882dde0cdc5bc5f4c20", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response successfully identified all the correct voicebanks, their developers, and release dates. However, there were some discrepancies in the listed languages for several entries. For Po-uta, Fuiro, ZOLA Project V6, AI Otomachi Una, SAKURA, ASAHI, SHION, and TAKU, the AI response only listed one 'base language' whereas the correct answer indicated English, Japanese, and Chinese support for these entries. The prompt specifically asked for 'language' and not 'base language', which led to the discrepancy. The AI's note about multilingual singing for VOCALOID6 entries implies the additional languages but doesn't explicitly state them for each entry as requested.\",\n \"Correctness Details\": {\n \"Luo Tianyi V5: Shanghai HENIAN Information Technology Co., Ltd, 2/12/2023, Chinese\": true,\n \"YANHE V5: Shanghai HENIAN Information Technology Co., Ltd, 2/12/2023, Chinese\": true,\n \"Yuezheng Ling V5: Shanghai HENIAN Information Technology Co., Ltd, 2/12/2023, Chinese\": true,\n \"Po-uta: Sample Sized, LLC, 3/7/2023, English, Japanese, Chinese\": false,\n \"Fuiro: YAMAHA Corporation, 5/9/2023, Japanese, English, Chinese\": false,\n \"ZOLA PROJECT V6: YAMAHA Corporation, 6/20/2023, Japanese, English, Chinese\": false,\n \"AI Otomachi Una: MTK Inc., 6/22/2023, Japanese, English, Chinese\": false,\n \"SAKURA, ASAHI, SHION, TAKU: YAMAHA Corporation, 12/25/2023, Japanese, English, Chinese\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1782, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 454, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 5, "precision": 1.0, "recall": 0.375, "f1": 0.5454545454545454, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 3.524} {"qid": "dsfull-017", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ea290482234596791727e409368f9a3e290ea9b6efeb2d16b68862e23dce2d5f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all five skyscrapers listed in the correct answer. It also provides additional relevant information like location, height, and completion year, and verifies the latitude condition.\",\n \"Correctness Details\": {\n \"One World Trade Center\": true,\n \"CITIC Tower (China Zun)\": true,\n \"Shanghai World Financial Center\": true,\n \"Zifeng Tower\": true,\n \"Willis Tower\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1188, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 130, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.897} {"qid": "dsfull-019", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b8b23d74df09f2d9f31c86cd943e1f1d9be797020b967ddc29202745f3bfde66", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Alabama as the state with the lowest ratio, which matches the provided correct answer. The table further supports this conclusion by calculating the ratios for each state.\",\n \"Correctness Details\": {\n \"Alabama\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1130, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 85, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.328} {"qid": "dsfull-020", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "fcd139b0da8941f54b152fdf15f3d8d98f9d6022f8336ce0a70b0bf1509ea285", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the states listed in the correct answer: Arkansas, Delaware, Georgia, Indiana, Louisiana, Mississippi, Ohio, Oklahoma, and West Virginia. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Arkansas\": true,\n \"Delaware\": true,\n \"Georgia\": true,\n \"Indiana\": true,\n \"Louisiana\": true,\n \"Mississippi\": true,\n \"Ohio\": true,\n \"Oklahoma\": true,\n \"West Virginia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1006, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 148, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 9, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.385} {"qid": "dsfull-023", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b536e331314f4e8879a6da7507f426dbd0f3de7a3384ba26f568abbc1c3d0a44", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 2019 as the answer, which matches the provided correct answer. The AI also includes a disclaimer about not being able to fully verify all conditions, but the final answer is correct.\",\n \"Correctness Details\": {\n \"2019\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 909, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 97, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.168} {"qid": "dsfull-022", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6c58e43ad414414461857e7f59977572f96847c23340472c22d5c739697492e8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the provinces listed in the correct answer: Prince Edward Island, Nova Scotia, New Brunswick, and Quebec. The AI also provides supporting data from the specified Statistics Canada tables, which align with the conditions set in the prompt.\",\n \"Correctness Details\": {\n \"Prince Edward Island\": true,\n \"Nova Scotia\": true,\n \"New Brunswick\": true,\n \"Quebec\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1172, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 126, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.596} {"qid": "dsfull-024", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d345f85ddc11d17f3008dd6f6c1486213ffb83f51e195540d280cf4cd9602762", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the capitals from the correct answer in the specified order.\",\n \"Correctness Details\": {\n \"Riga\": true,\n \"Zagreb\": true,\n \"Sofia\": true,\n \"Bucharest\": true,\n \"Warsaw\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1053, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 98, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.304} {"qid": "dsfull-025", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6e84cb57143a615db8e81509436f5ff16e4805edcea4916ef3bc311de853bc8b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Rishi Sunak and Nadhim Zahawi, which are both listed in the correct answer. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Rishi Sunak\": true,\n \"Nadhim Zahawi\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 969, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 90, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.185} {"qid": "dsfull-026", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3f973f6ebbf1cf92bea01e4a7de7075581fc3e0bf47f0f4f781e031d81d798b3", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified '2015-2016' and '2016-2017' but missed '2018-2019' from the correct answer.\",\n \"Correctness Details\": {\n \"2015-2016\": true,\n \"2016-2017\": true,\n \"2018-2019\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 925, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 134, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.6666666666666666, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.863} {"qid": "dsfull-021", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3b0cbec99a121b477ba572f8d2efdf0762b669b68eb53e3356d19974dfcaaaad", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'heavy goods vehicles (HGVs)' as the category with the fewest female driver fatalities in 2015, which matches the correct answer. The additional notes about verification and what RAS0501 counts are informative but do not detract from the correctness of the answer.\",\n \"Correctness Details\": {\n \"Heavy goods vehicle drivers\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 969, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 114, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 3.777} {"qid": "dsfull-027", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "01499deae17fa786cd5204f7e8d0c0b7f3116e3f2eab5b93d730faa3abc23303", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the 'Moheli scops-owl' as the animal categorized as 'critically endangered' or 'endangered' in both 2016 and 2017 lists, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Moheli Scops-owl\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 929, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 105, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.28} {"qid": "dsfull-028", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c142db1474fa9bd41fd0930bb4a7e8e83b9e586407aa73c87f2daa99934f616c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Writing' as the subject that had the greatest improvement in average NAPLAN score (2012-2022) for Year 7, while also meeting the 91% participation rate criteria. The response provides supporting details for its conclusion.\",\n \"Correctness Details\": {\n \"Writing\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1101, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 108, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.303} {"qid": "dsfull-031", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5b7dc9e4aa28c016b1a572995b6b7a40a7cf1061ff0a86c37e4ccbd6d35ccfbf", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four island nations as requested in the prompt, and lists them in the correct chronological order of their independence. All the provided answers align with the correct answer.\",\n \"Correctness Details\": {\n \"Trinidad & Tobago\": true,\n \"Malta\": true,\n \"Barbados\": true,\n \"Dominica\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1099, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 114, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.375} {"qid": "dsfull-029", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "21ba8f2c982512442dcbcab6ea539c6cf09fa30b1975bf5b48bb5b7c95b347a8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all three circuit court races with a vote difference of less than 1,000 votes, excluding Cook County, as requested in the prompt. The details provided (circuit number and vacancy name) match the correct answer.\",\n \"Correctness Details\": {\n \"3RD CIRCUIT - FIRST SUBCIRCUIT - DUGAN VACANCY\": true,\n \"4TH CIRCUIT - SHEAFOR, JR. VACANCY\": true,\n \"9TH CIRCUIT - SHIPPLETT VACANCY\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 998, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 148, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.742} {"qid": "dsfull-032", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2d3172ff577dd62e3540f6ac8e0e37bc46f7211da03b454a217677d868c9864d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Matt Koleszar' as the primary sponsor, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Matt Koleszar\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1022, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 73, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.367} {"qid": "dsfull-005", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ab0d4a2e2bf289674589bf530d370eec3c7c789204c601585e7243819ba2c6f1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'RotaTeq' as the oral vaccine licensed first in the United States for infants, which matches the correct answer. The additional details provided by the AI also confirm the reasoning behind this answer, such as the pathogen (rotavirus), WHO prequalification, and licensing date.\",\n \"Correctness Details\": {\n \"RotaTeq\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1042, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 112, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 11.793} {"qid": "dsfull-033", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a097e6ae0c9fec2f10a93b57fede20e6b6090ef6a9421f57b4adcf7d4ec1b342", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified '2019' as the year that met all the specified conditions, which matches the single correct answer provided.\",\n \"Correctness Details\": {\n \"2019\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1022, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 82, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.967} {"qid": "dsfull-030", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ed2aa32e2247fc5d99622b08ccc01afceccbb9174890a140552345f9fd38e045", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The prompt asks for quarterbacks starting in 2024 and going back 5 years, which means 2020-2024. The AI response initially provides data for this range but then correctly points out that if the user meant 2019-2023, Kyler Murray and Daniel Jones should be added. The 'Correct Answer' includes players from 2019, indicating the prompt intended a 2019-2023 range, or that the '5 years' should be interpreted as including the 5 years before 2024 (2019-2023). The AI response correctly identifies all players in the 'Correct Answer' list and doesn't add any excessive ones when considering the 2019-2023 period which the correct answer is based on.\",\n \"Correctness Details\": {\n \"Caleb Williams\": true,\n \"Jayden Daniels\": true,\n \"Drake Maye\": true,\n \"Bo Nix\": true,\n \"Bryce Young\": true,\n \"C.J. Stroud\": true,\n \"Kenny Pickett\": true,\n \"Trevor Lawrence\": true,\n \"Zach Wilson\": true,\n \"Mac Jones\": true,\n \"Joe Burrow\": true,\n \"Justin Herbert\": true,\n \"Kyler Murray\": true,\n \"Daniel Jones\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1536, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 345, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 14, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.515} {"qid": "dsfull-034", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9a9f3a3803392f4ea7ff923fb6d5c7716ddb173e4ad42c559e67198da4179b81", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies '2015' as the year with the largest difference, which matches the provided correct answer.\",\n \"Correctness Details\": {\n \"2015\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 962, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 79, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.16} {"qid": "dsfull-037", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5341f82f042fc9c085451affaf5ad47643e11f043de07538ac2595b23759e75e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all three states listed in the correct answer: Ohio, North Carolina, and Florida. There are no excessive answers provided.\",\n \"Correctness Details\": {\n \"Ohio\": true,\n \"North Carolina\": true,\n \"Florida\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1159, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 94, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.031} {"qid": "dsfull-036", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "41df4f5cb6f01d0b89f8aa79ef66d4e23e910ddd02363f9648b4d6383eb4734c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Vienna as the recommended city, which matches the single correct answer. The AI also explains its reasoning based on the provided criteria.\",\n \"Correctness Details\": {\n \"Vienna\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1297, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 80, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.056} {"qid": "dsfull-038", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "227bb3eca87040621af02a5c0d9887ca180e9b988ab57d44fcf59a18740c5961", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 2020 and 2021 but incorrectly included 2022 instead of 2023. Therefore, 2022 is an excessive answer, and 2023 is missed.\",\n \"Correctness Details\": {\n \"2020\": true,\n \"2021\": true,\n \"2023\": false\n },\n \"Excessive Answers\": [\n \"2022\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 920, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 137, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 1, "precision": 0.6666666666666666, "recall": 0.6666666666666666, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.371} {"qid": "dsfull-039", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "eed982e3436b13f5ce9bedf10ba83aa59324bef33b8bf45ab96253bde4085e67", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all five states listed in the correct answer (Texas, Indiana, West Virginia, Missouri, Ohio) as having the most electricity production capability from coal in 2020. The response also provides supporting data for each state, which is accurate.\",\n \"Correctness Details\": {\n \"Texas\": true,\n \"Indiana\": true,\n \"West Virginia\": true,\n \"Missouri\": true,\n \"Ohio\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 992, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 134, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.052} {"qid": "dsfull-040", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ffb30e20c0ecfb8c45bc84edbbeaa8ab0d1e20a2078e9e262e942ae559a055b7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the years specified in the correct answer: 2004, 2005, and 2006. There are no excessive answers.\",\n \"Correctness Details\": {\n \"2004\": true,\n \"2005\": true,\n \"2006\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1232, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 112, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.925} {"qid": "dsfull-041", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0508589e0f80cedf297e34aa6c5548c2d9aff229afb417d75adade177f2b83f7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the countries listed in the correct answer: Afghanistan, Somalia, Pakistan, Iraq, Kenya, and Nigeria. It presents them clearly in a table and in a final answer list, demonstrating that each item from the correct answer set was found.\",\n \"Correctness Details\": {\n \"Afghanistan\": true,\n \"Somalia\": true,\n \"Pakistan\": true,\n \"Iraq\": true,\n \"Kenya\": true,\n \"Nigeria\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1119, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 139, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.34} {"qid": "dsfull-043", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "eca9b636ac3a6c70e948a1d693b80d8a8b5eb08b8d9d247f0ab71b4e16d5dae8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three authors present in the correct answer. It also provides additional context about their articles in each volume, which is helpful but not requested.\",\n \"Correctness Details\": {\n \"Robert C. Williamson\": true,\n \"Yoram Singer\": true,\n \"David Maxwell Chickering\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1083, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 105, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.204} {"qid": "dsfull-044", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f290b4c63494afb586a0ab3a7b611ba34162155ffd01f8f8e2a10642b28acae4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the United States as the country with the highest death rate among the given options, which matches the correct answer. The AI also correctly notes the discrepancy in the year of the estimates (2023 vs 2024), but that doesn't affect the correctness of the answer itself according to the prompt.\",\n \"Correctness Details\": {\n \"United States\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 946, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 120, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.3} {"qid": "dsfull-045", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9c9cb60a7ddadd5bc169487063b74df6ca7b81df6cd90cfee52fd9401d0c86b9", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Females' as the gender that experienced a larger percentage increase in alcohol use, aligning with the correct answer. The AI also provides supporting data to justify its answer.\",\n \"Correctness Details\": {\n \"Female\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 999, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 89, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.268} {"qid": "dsfull-046", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "58fc12650089d570045f69e7c0939fc4953ad9038624e0fb48874e8959582d0a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identifies 'Antipsychotic Medication' (as 'medication, particularly antipsychotics') and 'Psychotherapy/Talk Therapy' (as 'Psychotherapy, including individual and family therapy'). However, it also includes additional treatment methods not present in the correct answer: 'skills training/rehabilitation', 'hospitalization for severe symptoms', and 'electroconvulsive therapy (ECT)'.\",\n \"Correctness Details\": {\n \"Antipsychotic Medication\": true,\n \"Psychotherapy/Talk Therapy\": true\n },\n \"Excessive Answers\": [\n \"Life/social skills training and vocational rehabilitation\",\n \"Hospitalization when necessary\",\n \"Electroconvulsive therapy (ECT)\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1102, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 177, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 3, "false_negatives": 0, "precision": 0.4, "recall": 1.0, "f1": 0.5714285714285715, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 2.022} {"qid": "dsfull-047", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3508aebdba696992d06e6994b0e2f0e61d4feab1bf0a4de35cfe1029350cbd07", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both 'Blindness/Deafness' and 'Confusion' as the spells that meet all the criteria specified in the prompt. Both were present in the response and are part of the correct answer.\",\n \"Correctness Details\": {\n \"Blindness/Deafness\": true,\n \"Confusion\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 962, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 107, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.846} {"qid": "dsfull-035", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "bbc83ad148162a6c68b6b632e25d1fdacca154ba0b1db3f6273244b95e2b50ef", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Brioche Frangipane Apple Pudding', 'Classic Victorian Christmas Cake', 'Frangipane Mince Pies', 'Glazed French Peach Tart', 'Pear Frangipane Tart', 'White Chocolate & Raspberry Bread & Butter Pudding', and 'Easter Simnel Cake'. However, it missed 'Simnel cake' and 'White Christmas Cake'.\",\n \"Correctness Details\": {\n \"Simnel cake\": false,\n \"White Christmas Cake\": false,\n \"White Chocolate & Raspberry Bread & Butter Pudding\": true,\n \"Glazed French peach tart\": true,\n \"Easter Simnel Cake\": true,\n \"Pear Frangipane Tart\": true,\n \"Brioche Frangipane Apple Pudding\": true,\n \"Frangipane Mince Pies\": true,\n \"Classic Victorian Christmas Cake\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1330, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 223, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 7, "false_positives": 0, "false_negatives": 2, "precision": 1.0, "recall": 0.7777777777777778, "f1": 0.8750000000000001, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 6.304} {"qid": "dsfull-048", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "fe84c223282dc0f1c4c68d53b598731f3b2405a8e4966daac1213ae9d6c6ae6c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the states listed in the 'Correct Answer'. It provided 'Arkansas, Louisiana, Mississippi, Oklahoma, and West Virginia', which perfectly matches the expected set of answers. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Arkansas\": true,\n \"Louisiana\": true,\n \"Mississippi\": true,\n \"Oklahoma\": true,\n \"West Virginia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1191, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 124, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.007} {"qid": "dsfull-049", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "483fb87a095f3fd48a26d6fa8adaaaa503538c5714ed424f814aba428f5cebab", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both Arizona and New York, which are the two states listed in the correct answer. The explanation also provides supporting data from World Population Review and acknowledges limitations regarding CDC data.\",\n \"Correctness Details\": {\n \"Arizona\": true,\n \"New York\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 971, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 97, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.079} {"qid": "dsfull-050", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9a81e04d5ac1a4a5f5dc3f0aaed80de89320bc0ec49a92290abddc9f15106680", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identified Oklahoma, Kansas, and Texas. However, it also included Nebraska, which is not part of the correct answer set, making it an excessive answer.\",\n \"Correctness Details\": {\n \"Oklahoma\": true,\n \"Kansas\": true,\n \"Texas\": true\n },\n \"Excessive Answers\": [\n \"Nebraska\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1128, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 107, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 1, "false_negatives": 0, "precision": 0.75, "recall": 1.0, "f1": 0.8571428571428571, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.301} {"qid": "dsfull-051", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "07953a0f998726fc9a9f955f18ddc67e9981e2f5f5bae03f012c265fb957f4e6", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all five states listed in the correct answer: Mississippi, Arkansas, Louisiana, West Virginia, and Georgia. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Mississippi\": true,\n \"Arkansas\": true,\n \"Louisiana\": true,\n \"West Virginia\": true,\n \"Georgia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1058, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 111, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.174} {"qid": "dsfull-053", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "dfeb0ac5fd4283972eeba5024a22b260285be28b7d891da70bf5c6e1eaf58cab", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Florida' and 'North Carolina' as states that sustained casualties in both 2022 and 2023, providing details for each. However, it also included 'California' as an additional, provisional match, which is not part of the correct answer.\",\n \"Correctness Details\": {\n \"Florida\": true,\n \"North Carolina\": true\n },\n \"Excessive Answers\": [\n \"California\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1078, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 127, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 0, "precision": 0.6666666666666666, "recall": 1.0, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.335} {"qid": "dsfull-054", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ac7f01933f7b8a2ac4564126a383064460216841a73a4c62c912d5fa8f19928c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the wards listed in the correct answer (Calder, Northowram and Shelf, Park, Skircoat). There are no excessive answers.\",\n \"Correctness Details\": {\n \"Calder\": true,\n \"Northowram and Shelf\": true,\n \"Park\": true,\n \"Skircoat\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 968, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 113, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.101} {"qid": "dsfull-052", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "cd44dc668ac1f289023be8f67618bd2bb6781ecb930abdc574d0202844a022fe", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly lists all 15 states that had legally enacted and effective term limits for both their governor and at least one chamber of their state legislature as of December 31, 2022. The response explicitly states the exclusion of North Dakota due to the effective date of its term limits, which aligns with the prompt's specified cutoff.\",\n \"Correctness Details\": {\n \"Arizona\": true,\n \"Arkansas\": true,\n \"California\": true,\n \"Colorado\": true,\n \"Florida\": true,\n \"Louisiana\": true,\n \"Maine\": true,\n \"Michigan\": true,\n \"Missouri\": true,\n \"Montana\": true,\n \"Nebraska\": true,\n \"Nevada\": true,\n \"Ohio\": true,\n \"Oklahoma\": true,\n \"South Dakota\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1070, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 224, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 15, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.856} {"qid": "dsfull-056", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3f2a352578824b2fcb187b0dceb1aaf419f456d797622ae3740e468724c707f8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified the author 'Khor Waiho', which matches the provided correct answer.\",\n \"Correctness Details\": {\n \"Khor Waiho\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 927, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 73, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.04} {"qid": "dsfull-057", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8a36caab67b0f3ff45cf58d5e1c672ee6e4514bde9a5a817e32c3f0f2818c74f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies Lithuania as the answer. The correct answer is Bulgaria.\",\n \"Correctness Details\": {\n \"Bulgaria\": false\n },\n \"Excessive Answers\": [\n \"Lithuania\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 954, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 76, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 0.977} {"qid": "dsfull-055", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1be5e1ffa8352759d3ad6fb9b29320a4bb76408b902fe026d7d908a6668fcc79", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Linn as the candidate for Black Hawk, Greene, Jackson, Sac, and Worth counties. However, it incorrectly states Linn for Johnson County, whereas the correct answer is Murray. Franklin County and its candidate are entirely missing from the AI response.\",\n \"Correctness Details\": {\n \"Black Hawk County: Linn\": true,\n \"Franklin County: Linn\": false,\n \"Greene County: Linn\": true,\n \"Jackson County: Linn\": true,\n \"Johnson County: Murray\": false,\n \"Sac County: Linn\": true,\n \"Worth County: Linn\": true\n },\n \"Excessive Answers\": [\n \"Johnson\u2014Harry D. Linn\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1048, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 181, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 1, "false_negatives": 2, "precision": 0.8333333333333334, "recall": 0.7142857142857143, "f1": 0.7692307692307692, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.789} {"qid": "dsfull-058", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e6be7e4b65a6c48a327d30202b5c381e159252d399a32ce44ac5ac683f43b7b7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies Switzerland as the answer. The correct answer is Cyprus.\",\n \"Correctness Details\": {\n \"Cyprus\": false\n },\n \"Excessive Answers\": [\n \"Switzerland\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 906, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 75, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.303} {"qid": "dsfull-059", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8665cecc67fbd822d81b4ec5066398cbcfee791e5cb01bd8e01462c9d8fa6717", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both Russia and Kazakhstan, which matches the provided correct answer. No excessive answers were included.\",\n \"Correctness Details\": {\n \"Russia\": true,\n \"Kazakhstan\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1342, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 82, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.199} {"qid": "dsfull-061", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "14d8b294764ad2cf92d483c55ec06020b716eaeebdc0c8674441c89137b7bd3c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Martin Van Buren as the president who meets all the specified criteria. The explanation provided by the AI further elaborates on why Martin Van Buren is the correct answer by breaking down each of the conditions given in the prompt, supporting its claims with references to external sources. It correctly states he was a Democrat who served one term, issued 10 executive orders, and had no wars declared during his presidency.\",\n \"Correctness Details\": {\n \"Martin Van Buren\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1064, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 137, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.295} {"qid": "dsfull-060", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3b4ab3042f600ad4f5bbf0d0e23ef1d98f6a08c33fd5bf1f396248064d4b7981", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Myanmar as the country with the lowest number of TB cases in 2023 among the five countries that had the greatest share of reduction in reported TB cases between 2019 and 2021. The response presents the data clearly and highlights the correct answer.\",\n \"Correctness Details\": {\n \"Myanmar\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1051, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 112, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.35} {"qid": "dsfull-062", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "bec7a5a174f17a58041e3c2186ce6acf190d7236c27d0b70bc6ebef1e2c5d608", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Sony A7R V, Fujifilm X-T5, and Sony A7 IV. However, it missed Canon EOS R5 which also meets the criteria.\",\n \"Correctness Details\": {\n \"Canon EOS R5\": false,\n \"Sony A7 IV\": true,\n \"Fujifilm XT5\": true,\n \"Sony A7R V\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1004, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 121, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.75, "f1": 0.8571428571428571, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.309} {"qid": "dsfull-063", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "33f63f61674731468e2aaf769b6c97421455d50c523d209c0e9caeb2f462b3cc", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both the Netherlands and the United States as the countries with the most categories for 'Available but not compulsory to teach' for ISCED 1 level education, aligning with the correct answer.\",\n \"Correctness Details\": {\n \"United States, Netherlands\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 914, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 95, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.392} {"qid": "dsfull-065", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8666d1805129a1e0037235bc33f634b052a614ec56558cf87651d425b3826cb7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response states '2019' as the answer, which is incorrect. The correct answer, according to the provided information, is '2017'.\",\n \"Correctness Details\": {\n \"2017\": false\n },\n \"Excessive Answers\": [\n \"2019\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 893, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 100, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.302} {"qid": "dsfull-064", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "98728aa6b3be432eee612e8fab0f5dee6e5fc80a718293a2ec078b9cc4fecf37", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the species listed in the correct answer. The explanation provided in the response also correctly identifies Kenya as the country and states that it could not verify the FishBase data, which aligns with the complexity of the prompt.\",\n \"Correctness Details\": {\n \"Clarias gariepinus\": true,\n \"Cyprinus carpio\": true,\n \"Oncorhynchus mykiss\": true,\n \"Oreochromis niloticus\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1116, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 138, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.427} {"qid": "dsfull-066", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "193d2717731f8811984832be4723bafe5ec8297141d4faaf8f676dcd9e8d4ff9", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies John F. Kennedy and Harry S. Truman as the presidents who meet all the criteria specified in the prompt. Both are listed in the 'Correct Answer'.\",\n \"Correctness Details\": {\n \"John F. Kennedy\": true,\n \"Harry S. Truman\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1103, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 100, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.138} {"qid": "dsfull-069", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0b57667370ff2dc06381e198abad72450a147772b17dd2409cab6519c946f394", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Georgia' as the state with the largest percentage population growth, which matches the single correct answer provided.\",\n \"Correctness Details\": {\n \"Georgia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1101, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 76, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.923} {"qid": "dsfull-042", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "99ea01a5b19c4c7c9be15e690760589b8bcfa767378b58d1d239a4b6153b69f1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified '21st June 2023' as one of the dates. However, it also included '29 March 2023' which was not part of the correct answer, making it an excessive answer.\",\n \"Correctness Details\": {\n \"21st June 2023\": true\n },\n \"Excessive Answers\": [\n \"29 March 2023\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1054, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 125, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 1, "false_negatives": 0, "precision": 0.5, "recall": 1.0, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 10.804} {"qid": "dsfull-068", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "84dc495160efc9e99231d703fb9c890807b4788956f4be2e58e18e86c3a9b752", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Lambeth' and 'Southwark' from the correct answer. However, it also included 'Croydon' which is an excessive answer.\",\n \"Correctness Details\": {\n \"Lambeth\": true,\n \"Southwark\": true\n },\n \"Excessive Answers\": [\n \"Croydon\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 904, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 102, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 0, "precision": 0.6666666666666666, "recall": 1.0, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.242} {"qid": "dsfull-067", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b2f2498099346ce3e2a0d4609063bde5ea3d23ca93e4ff124b280fdf11ac562a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the earliest Red List assessment dates for Komodo Dragon, Yellow-eared Parrot, Saiga tatarica, and Siberian Taimen. However, it incorrectly states 1986 for Wild Water Buffalo; the correct earliest assessment date is 1965.\",\n \"Correctness Details\": {\n \"Wild Water Buffalo, 1965\": false,\n \"Komodo Dragon, 1986\": true,\n \"Yellow-eared Parrot, 1988\": true,\n \"Saiga tatarica, 1996\": true,\n \"Siberian Taimen, 2012\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 980, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 184, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.8, "f1": 0.888888888888889, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.767} {"qid": "dsfull-070", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9105157ec33b5b302a0a15491728c45ea1cc46924d4b2d995d51e5d9f6dcdbd0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the years where Rail service passengers were greater than Bus service passengers, and total passengers were less than 46,000,000, which are 2013, 2016, 2017, 2018, and 2019. All items from the correct answer are present in the response.\",\n \"Correctness Details\": {\n \"2019\": true,\n \"2018\": true,\n \"2017\": true,\n \"2016\": true,\n \"2013\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1201, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 175, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.691} {"qid": "dsfull-072", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f0d46dac69c5cc3b6acb4aa9765992fbf3e4f32dd621d9504045def81d88a0f5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The correct answer is 'None' because no Batman game fits all the criteria. The AI response incorrectly suggests 'Batman: Arkham Knight' and 'Gotham Knights'. 'Batman: Arkham Knight' only has a Condiment King Easter egg, not a full inclusion, and 'Gotham Knights' is not a Batman game (Batman is dead).\",\n \"Correctness Details\": {\n \"None\": false\n },\n \"Excessive Answers\": [\n \"Batman: Arkham Knight\",\n \"Gotham Knights\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 956, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 138, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 2, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.236} {"qid": "dsfull-071", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9ad37acf41da3a79aba8f214fa896773e849747303455ba69803351081c1d317", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all three cities from the correct answer: Richmond, Blenheim, and Rangiora. There are no excessive answers provided.\",\n \"Correctness Details\": {\n \"Richmond\": true,\n \"Blenheim\": true,\n \"Rangiora\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1036, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 96, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.302} {"qid": "dsfull-073", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1c66e6ab761e29e7d96bd6d1d31a6db2dfdcadd8add84bf3e5f899d6ef5340f7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identified Connecticut, Delaware, Georgia, Mississippi, New Hampshire, and South Carolina. However, it missed Maryland and New York, and incorrectly included Alabama, Hawaii, and Rhode Island as excessive answers.\",\n \"Correctness Details\": {\n \"Connecticut\": true,\n \"Delaware\": true,\n \"Georgia\": true,\n \"Maryland\": false,\n \"Mississippi\": true,\n \"New Hampshire\": true,\n \"New York\": false,\n \"South Carolina\": true\n },\n \"Excessive Answers\": [\n \"Alabama\",\n \"Hawaii\",\n \"Rhode Island\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 907, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 165, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 3, "false_negatives": 2, "precision": 0.6666666666666666, "recall": 0.75, "f1": 0.7058823529411765, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.47} {"qid": "dsfull-074", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "23b92c6baa7c5032c6b716e90560fe68c3a0ccfef160d46d15525381e97fc395", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the players, the coach, the teams they beat in order, the prize money, and the final score, matching all aspects of the correct answer.\",\n \"Correctness Details\": {\n \"Players: Yanis \\\"Alpha54\\\" Champenois, Andrea 'Radosin\\\" Radovanovi\u0107, Alexis \\\"zen\\\" Bernier\": true,\n \"Coach: Victor \\\"Ferra\\\" Francal\": true,\n \"Beat: Moist Esports, Spacestation Gaming, Team Falcons, Karmine Corp, Team BDS\": true,\n \"Won: $600,000\": true,\n \"Final score: 4,0 Team Vitality\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1292, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 186, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.613} {"qid": "dsfull-075", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "fb5cf79dcc3287fc455008894c2c2c35130d4acafa66d7ec1eae37d9a1ff142e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both \\\"Red Hills with Flowers (1937)\\\" and \\\"Black Cross, New Mexico (1929)\\\" from the correct answer set. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Red Hills with Flowers (1937)\": true,\n \"Black Cross, New Mexico (1929)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1021, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 120, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.296} {"qid": "dsfull-077", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f6c0d4ca74532dba0b3779956ed607f2962ab660f0dcd022b21d443c329eba7b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the racial demographic groups (Asian, Black, NHOPI) that had more peripartum hysterectomies in 2018 compared to 2017, matching the provided correct answer. The groups are also listed in alphabetical order as requested.\",\n \"Correctness Details\": {\n \"Asian\": true,\n \"Black\": true,\n \"NHOPI\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1024, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 127, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.255} {"qid": "dsfull-078", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d2c65d697c7b3eeda6d4475952ece277a2597ea6a5d18c030ffe4466dc2f0324", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both 2021 and 2023 as the years that meet the specified criteria.\",\n \"Correctness Details\": {\n \"2021\": true,\n \"2023\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1046, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 89, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.922} {"qid": "dsfull-076", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3aa37d27c8dcb7f40d06b5136afd3bb91a767aac707731c3492afaabea1d6263", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response failed to identify the Beko WM5122W as a model that does not meet the mandatory noise levels. It correctly identified the Indesit IWSC 51051 C ECO IT and Amica AWI510LP.\",\n \"Correctness Details\": {\n \"Beko WM5122W\": false,\n \"Indesit IWSC 51051 C ECO IT\": true,\n \"Amica AWI510LP\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1027, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 146, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.6666666666666666, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.569} {"qid": "dsfull-079", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "69a541e35144baec5310807f22b485d2fa463330d3218d76f04268f8aa19c7ec", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Zidovudine' and 'Lamivudine' which are both in the correct answer set. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Lamivudine\": true,\n \"Zidovudine\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1143, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 98, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.951} {"qid": "dsfull-080", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c05c7afdf3552da99d0a43cf6a72e5b7b5aab7b4ea1830b6e8155ad1fe7bb256", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the states listed in the correct answer. There are no excessive answers.\",\n \"Correctness Details\": {\n \"California\": true,\n \"Kansas\": true,\n \"Minnesota\": true,\n \"Nebraska\": true,\n \"North Dakota\": true,\n \"South Dakota\": true,\n \"Texas\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1296, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 115, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 7, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.237} {"qid": "dsfull-083", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b1d78f041b4aeac2645d3a07daa3e2af7c5537f86ca9af5867efd298e20049c5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the museum (National Archaeological Museum, Athens), the exhibit (Mycenaean Antiquities exhibition / Prehistoric Collection), and the room (Room 4), which aligns with the provided correct answer. The AI also correctly notes that the mask is the Mask of Agamemnon, which is a related but not explicitly requested piece of information.\",\n \"Correctness Details\": {\n \"National Archaeological Museum of Athens, Collection of Mycenaean Antiquities, Hall 4\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 899, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 139, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.086} {"qid": "dsfull-084", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6d42f59e873c808ea835ef8412850a53aff5e5d99d414d0cb402b4764adc75e1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three exoplanets listed in the correct answer: GJ 806 b, TOI-4010 b, and WASP-84 c. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"GJ 806 b\": true,\n \"TOI-4010 b\": true,\n \"WASP-84 c\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1053, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 127, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.251} {"qid": "dsfull-081", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "768919d5883a02e6c450e6f4b9422787a49da6a4d3200a101e6b6165a36440c5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both 2020 and 2021 as the years Ohio was in the top 5 for both lists, which matches the correct answer. The AI also correctly excluded 2022 and provided additional context that it used total deaths (not population-adjusted rates).\",\n \"Correctness Details\": {\n \"2020\": true,\n \"2021\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 922, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 127, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.591} {"qid": "dsfull-085", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "35ba74450f8b157c049ba1c7466216c42da5dc52c86f8fb6c36d358cdf30ae80", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Psyduck, Kingler, and Starmie. However, it missed Seel and Dewgong, which are also first-generation Water-type Pok\u00e9mon used by protagonists in Pok\u00e9mon: Indigo League with a base HP stat of 50 or higher.\",\n \"Correctness Details\": {\n \"Kingler\": true,\n \"Starmie\": true,\n \"Psyduck\": true,\n \"Seel\": false,\n \"Dewgong\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 918, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 142, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 2, "precision": 1.0, "recall": 0.6, "f1": 0.7499999999999999, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.303} {"qid": "dsfull-087", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7ec945b900f7a9f3918cdd76ebe018238becaccbf2e0de223871cb56df493e97", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Italy as the country with the largest percentage increase in goods transported by rail between 2020 and 2024, matching the provided correct answer.\",\n \"Correctness Details\": {\n \"Italy\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 851, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 88, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.094} {"qid": "dsfull-086", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4b9b2cb8879ed83c3ac57542def269babbd168064cec97cab354dc3661352864", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Blackpool and Hastings, which are both listed in the correct answer. The AI also includes a disclaimer about verification, but this does not detract from the correctness of the answer itself.\",\n \"Correctness Details\": {\n \"Blackpool\": true,\n \"Hastings\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 863, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 99, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.299} {"qid": "dsfull-089", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4306fe44606e188cd54e10144f194acf28c4c11a3e753aa9ab82a75d2f3a8e8e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all four presidents listed in the correct answer: Grover Cleveland, Ulysses S. Grant, Rutherford B. Hayes, and William Howard Taft. It also provided a well-structured table and links to sources.\",\n \"Correctness Details\": {\n \"Grover Cleveland\": true,\n \"Ulysses S. Grant\": true,\n \"Rutherford B. Hayes\": true,\n \"William Howard Taft\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1067, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 129, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.263} {"qid": "dsfull-088", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8842ed850376121bd9ea379a05049b1961cc497e3bb4fe63277630aa5f401a86", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response failed to identify most of the correct countries and included several incorrect ones. Only Tanzania was correctly identified from the provided list.\",\n \"Correctness Details\": {\n \"Cameroon (Patience, Trust)\": false,\n \"Czech Republic (Trust, Altruism)\": false,\n \"Zimbabwe (Trust, Risk Taking)\": false,\n \"Hungary (Patience, Altruism)\": false,\n \"Saudi Arabia (Risk Taking, Negative Reciprocity)\": false,\n \"Tanzania (Risk Taking, Altruism)\": true,\n \"Malawi (Trust, Risk Taking)\": false\n },\n \"Excessive Answers\": [\n \"Georgia\",\n \"Greece\",\n \"Iran\",\n \"Nicaragua\",\n \"South Africa\",\n \"Uganda\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 980, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 213, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 6, "false_negatives": 6, "precision": 0.14285714285714285, "recall": 0.14285714285714285, "f1": 0.14285714285714285, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.988} {"qid": "dsfull-091", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1fd0345b32e8012813885164d0df7ee38db5f546898827135557014ed3750108", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Salford and Oldham as the local authority areas that fit both criteria, matching the correct answer exactly. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Salford\": true,\n \"Oldham\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 999, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 89, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.186} {"qid": "dsfull-090", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "83c75a6352fda0a541abdc5081ea8e58759daa3875518e01e8f3cd08a61bc4bf", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies Stanford University as the answer. The correct answer, based on the provided criteria, is Harvard. The AI explicitly states it couldn't fully verify the figures, which might explain the incorrect answer.\",\n \"Correctness Details\": {\n \"Harvard\": false\n },\n \"Excessive Answers\": [\n \"Stanford University\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 866, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 103, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.342} {"qid": "dsfull-092", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "66450a5bbcd710fdfa0141f1bab57388a305f83cc6fc28e40b3c4b349b4496d5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the cars from the Kelley's Blue Book list that meet the specified criteria for cargo volume and fuel economy. All items in the correct answer are present in the AI response.\",\n \"Correctness Details\": {\n \"Honda CR-V\": true,\n \"Hyundai Tucson\": true,\n \"Kia Sportage\": true,\n \"Nissan Rogue\": true,\n \"Subaru Forester\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1165, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 128, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.438} {"qid": "dsfull-093", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "53d8c3305ef6067b9b69b505b56506477510df59f99f04e6e206f3ddd3c504ff", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the strategies that decreased in usage from 2021-22 to 2022-23 and orders them according to the specified criteria (greatest decrease to least decrease, with equal decreases in alphabetical order).\",\n \"Correctness Details\": {\n \"Job fairs\": true,\n \"Social media\": true,\n \"Word of mouth about the school\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1097, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 125, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.44} {"qid": "dsfull-094", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "60165c5766843ad34814ddb6b22e34f486db4e9eb5f29daf96b31314ac4db47c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies McMaster University as the answer, which matches the provided correct answer. The AI also provides supporting details for each criterion, which, despite the disclaimers about not being able to fully verify 2022 rankings, ultimately leads to the correct conclusion.\",\n \"Correctness Details\": {\n \"McMaster University\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1156, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 108, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.27} {"qid": "dsfull-095", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4c5b41e072e2372f63b177120f2cbb45c65dbca2fce962eb8e51262e57bda6ad", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the counties listed in the correct answer. It also provides a clear table with the relevant data and explains the exclusion of counties named after founding fathers.\",\n \"Correctness Details\": {\n \"Calhoun County\": true,\n \"Dixie County\": true,\n \"Gilchrist County\": true,\n \"Glades County\": true,\n \"Gulf County\": true,\n \"Holmes County\": true,\n \"Lafayette County\": true,\n \"Liberty County\": true,\n \"Union County\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1329, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 156, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 9, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.032} {"qid": "dsfull-098", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d1ae112d6a185909759371a6931d7aab9f41ef83cfaff901006ae8bdd4da9fbb", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Morocco' as the country that fits both criteria outlined in the prompt.\",\n \"Correctness Details\": {\n \"Morocco\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1084, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 72, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.894} {"qid": "dsfull-096", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8e76fc41656329b0c4c3102a5220d130d9cdd07acfc5dbbb5ba303a1161821ba", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both Egypt and Romania as per the prompt's conditions and the provided correct answer. It also presented the data in a clear, tabular format.\",\n \"Correctness Details\": {\n \"Romania\": true,\n \"Egypt\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1158, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 91, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.314} {"qid": "dsfull-097", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8b71efec45cbc3f2928f0d467c1a6af129ed853b7b7049fd074e0d80e01e871e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Iowa for 'higher total fatalities per 100 million vehicle miles driven' but incorrectly identifies Utah for 'higher urban fatalities per 100 million vehicle miles driven'. The correct answer for both parts is Iowa.\",\n \"Correctness Details\": {\n \"Iowa (highest number of total traffic fatalities per 100 million vehicle miles driven)\": true,\n \"Iowa (highest number of urban fatalities per 100 million vehicle miles driven)\": false\n },\n \"Excessive Answers\": [\n \"Utah\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 883, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 147, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 1, "false_negatives": 1, "precision": 0.5, "recall": 0.5, "f1": 0.5, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.118} {"qid": "dsfull-100", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0eae7e33e00c215ce21dd16cdc9d7466c351b7c8d3a2269f04da17bd268dbea4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Denmark as the country with the largest percentage drop, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Denmark\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 965, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 71, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.032} {"qid": "dsfull-099", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "cabdaa31ebde83462242aac36a389228ef3ff056927528b6f2f241eb50b03161", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four ecoregions listed in the correct answer: Coastal Plains, Southern Appalachians, Southern Plains, and Temperate Plains. The response also provides supporting data in a table format.\",\n \"Correctness Details\": {\n \"Coastal Plains\": true,\n \"Southern Appalachians\": true,\n \"Southern Plains\": true,\n \"Temperate Plains\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1074, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 120, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.188} {"qid": "dsfull-101", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "721a3b0391d3110b19fd2c64366175ab572c64e231a6cab94650c495ad7c2644", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Joelle Pineau as the most cited author, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Joelle Pineau\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 987, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 74, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.192} {"qid": "dsfull-102", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4c87d3351a01bed75dc4eb776398e6ba40844c1d9eb3eece9e707546856971b0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the number '5' as the answer, which matches the correct answer. It also provides a detailed breakdown of the years and amounts, confirming the count.\",\n \"Correctness Details\": {\n \"5\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1197, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 86, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.246} {"qid": "dsfull-104", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "32bf4decea4b53982d113e9bbeb9a4958148ac8bab8e476dc723b805a6ac6725", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the countries listed in the correct answer: Czechia, Italy, and Romania. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Czechia\": true,\n \"Italy\": true,\n \"Romania\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1128, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 93, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.959} {"qid": "dsfull-103", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a4e20c12f27f1d5b14a6803a244b64d63f4b56d56a85394c78248a7be9e8f57a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Iceland as the country with the highest percentage increase in annual CO2 emissions between the adoption of the Kyoto Protocol and the Paris Agreement, aligning with the single correct answer provided.\",\n \"Correctness Details\": {\n \"Iceland\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1039, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 89, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.168} {"qid": "dsfull-106", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "31df1c45df8c92e8cd6150010fa47925e6f29e978cd298c5bfef341dab52b57f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response failed to identify any of the correct answers and instead provided an unverified prediction that is not part of the correct set.\",\n \"Correctness Details\": {\n \"Croydon Mountain\": false,\n \"Hope River Stream\": false,\n \"Newton\": false,\n \"Petersfield\": false,\n \"Mount Airy\": false,\n \"Hermitage\": false,\n \"Hampton Estate\": false,\n \"Tulloch Estate\": false,\n \"Tryall\": false\n },\n \"Excessive Answers\": [\n \"Ocho Rios Marine Park\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 891, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 157, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 9, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.484} {"qid": "dsfull-108", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4af31ac9e677c72faecfcee87ef29c0e3d66cb8e924849439450e804c96ee520", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Northeast Community College' as the institution with the highest retention rate, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Northeast Community College\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 981, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 79, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.837} {"qid": "dsfull-107", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ab3c165c8301fd7e2d9f580a87fb21b59b6db1a58b7c33bff1a263e436ec4d04", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Texas as the state with the lowest average residential price for one kilowatt-hour of electricity among the specified criteria.\",\n \"Correctness Details\": {\n \"Texas\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1278, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 77, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.208} {"qid": "dsfull-105", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "89ff8d35c97660fae18ece912f2fbbb81dfef42d1ea0eb28c45d9d3b33dc2db4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Kristaps Porzi\u0146\u0123is, Anthony Edwards, and Scottie Barnes. However, it also included Dariq Whitehead as an answer. While the AI notes that Whitehead's qualifying season is projected for 2025-26 and only comprised six games, the prompt specified 'ending with the 2024 draft' and 'scored more than 15 points per game in a season' (implying a completed season). Even if we consider 2025-26 data as a forward-looking interpretation, the player should have already scored more than 15 PPG in a season. Whitehead was drafted in 2023, but did not have a 15+ PPG season by the 2024 draft, and his listed 16.3 PPG season is projected for 2025-26 with only 6 games, which does not fit the spirit of 'a season' as understood for drafted players by the 2024 draft.\",\n \"Correctness Details\": {\n \"Kristaps Porzi\u0146\u0123is\": true,\n \"Anthony Edwards\": true,\n \"Scottie Barnes\": true\n },\n \"Excessive Answers\": [\n \"Dariq Whitehead\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1229, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 298, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 1, "false_negatives": 0, "precision": 0.75, "recall": 1.0, "f1": 0.8571428571428571, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 2.182} {"qid": "dsfull-109", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0732f6c0e1a2e5036c5f85ffcb6675821088b9ca245bc19ef9d714598370eefc", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Intel Foundry Services' as the business unit with the smallest YoY revenue shift during Intel's weakest third quarter earnings, which is 2022. It provides the exact answer requested.\",\n \"Correctness Details\": {\n \"Intel Foundry Services\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1131, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 96, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.007} {"qid": "dsfull-110", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "63879a9322b3aee37c9f3168003817a128728fec1ddfd172dc04716f1b0a06a8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both electoral districts where over 50% of valid ballots were cast for their local representative to the Conservative party: Cariboo\u2014Prince George and Prince George\u2014Peace River\u2014Northern Rockies. These match the provided correct answer exactly.\",\n \"Correctness Details\": {\n \"Cariboo-Prince George\": true,\n \"Prince George-Peace River-Northern Rockies\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 951, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 121, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.299} {"qid": "dsfull-112", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "49d9c63800a5de3e157b71f077b691b781358b070d3751333bdcd4fd3e3ca02a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four executives and their birthplaces as listed in the correct answer. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Heinrich Gattineau - Bucharest, Romania\": true,\n \"Paul Haefliger - Steffisburg, Switzerland\": true,\n \"Erich von der Heyde - Hong Kong, China\": true,\n \"August von Knieriem - Riga, Latvia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1062, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 130, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.329} {"qid": "dsfull-113", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c0ab63bcf172654aaa2e9368dc64f3f2739aefec8ce05ee84304be745c57412d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Super-speed' as the superpower, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Super-speed\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 934, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 72, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.004} {"qid": "dsfull-111", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0584712dab9c27715f8153c1a8ab90e35713481aa50ae05f18873781f4631dad", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the age range and number of deaths for each specified group, matching all the details in the correct answer.\",\n \"Correctness Details\": {\n \"Female cats: Age range 15\u201316 years, with 335 deaths\": true,\n \"Male cats: Age range 14\u201315 years, with 288 deaths\": true,\n \"Purebred cats: Age range 14\u201315 years, with 67 deaths\": true,\n \"Crossbred cats: Age range 15\u201316 years, with 532 deaths\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1123, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 170, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.543} {"qid": "dsfull-117", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d06234bffb55f52016e984433dd8b0d3b0e89f39c80863c569bd6442b2575aaf", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all countries from the correct answer: Austria, France, Germany, and Slovak Republic. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Austria\": true,\n \"France\": true,\n \"Germany\": true,\n \"Slovak Republic\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1122, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 101, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.018} {"qid": "dsfull-115", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "44b12bed9c6ffa25065379fde353c977dfeb495a6227528a5df1fb098205db18", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Q1 and Q4 as the quarters where Tesla's net profit margin percentage was over 10.5%. The calculations provided in the table support these findings.\",\n \"Correctness Details\": {\n \"Q1\": true,\n \"Q4\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1516, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 98, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.345} {"qid": "dsfull-116", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "86b660aebdd72ed9073571a97c9a2992e77c0bff671da4d8fb711368ce30c726", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Oklahoma and Arkansas. However, it incorrectly included Alabama and missed Mississippi. The prompt required states that were in the top 5 for heart disease death rates AND had chronic lower respiratory diseases in their top 5 leading causes of death. The provided correct answer lists Oklahoma, Mississippi, and Arkansas.\",\n \"Correctness Details\": {\n \"Oklahoma\": true,\n \"Mississippi\": false,\n \"Arkansas\": true\n },\n \"Excessive Answers\": [\n \"Alabama\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 938, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 135, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 1, "precision": 0.6666666666666666, "recall": 0.6666666666666666, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.663} {"qid": "dsfull-118", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "875176a39f857f26b47709ad58fb4520e0bf3d202ca68262c4a71b091397a576", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response states that 'median weekly household income was higher', which contradicts the correct answer of 'Median monthly mortgage repayments'. Therefore, the answer is incorrect.\",\n \"Correctness Details\": {\n \"Median monthly mortgage repayments\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 972, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 85, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.106} {"qid": "dsfull-082", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0cf0386bd919a0f873a56ea6e2fe66bf9f2b5f0529bf417c5b4521185c5a8447", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Age', 'Smoking', and 'Family History' as common risk factors. However, it also included 'High blood pressure' as an excessive answer, which was not part of the correct answer set for factors common across all three types of aneurysms as per the prompt's implied scope (Mayo Clinic sources, and a commonality across all three). While high blood pressure is a risk factor for some, the prompt asks for commonalities among all three, and 'High blood pressure' was explicitly noted as not a common 'risk factor' across all three by the AI itself. Thus, it's excessive for the *common* risk factors requested.\",\n \"Correctness Details\": {\n \"Age\": true,\n \"Smoking\": true,\n \"Family History\": true\n },\n \"Excessive Answers\": [\n \"High blood pressure\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1035, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 213, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 1, "false_negatives": 0, "precision": 0.75, "recall": 1.0, "f1": 0.8571428571428571, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 13.234} {"qid": "dsfull-119", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a16274524e74357069400b9fb84fb4c44a918f4ea2bcc58d92d8678b68253f1c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the counties listed in the correct answer. The table provides the data that supports the selection of these counties based on the prompt's conditions (below 40% in 2018 and increased by more than 15 percentage points in 2022).\",\n \"Correctness Details\": {\n \"Benton\": true,\n \"Ferry\": true,\n \"King\": true,\n \"Wahkiakum\": true,\n \"Whitman\": true,\n \"Yakima\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1106, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 154, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.167} {"qid": "dsfull-120", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9ff8ff5180c5a8f3124d10d03c367866b98a1cb8ac37dbf36de86b90c30a31d2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly lists all of Yugi's monsters in the specified order from highest to lowest ATK, using DEF as a tie-breaker. All monsters from the correct answer are present and in the correct order.\",\n \"Correctness Details\": {\n \"Curse of Dragon\": true,\n \"Giant Soldier of Stone\": true,\n \"Feral Imp\": true,\n \"Horn Imp\": true,\n \"Silver Fang\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1028, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 133, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.408} {"qid": "dsfull-114", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7f2a299698093fed97cb563f666f8338f5ecf13ee130605ba9e5af2867873936", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Nevada as the state with the highest number of electric vehicle registrations per million dollars of 2022 current-dollar GDP among the specified states, matching the correct answer.\",\n \"Correctness Details\": {\n \"Nevada\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1217, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 91, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 3.826} {"qid": "dsfull-123", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "74728c4476e62c90fd341a3503cbfa735c1c685769dd55940f749fe6e8c0bb6c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both protected areas listed in the correct answer: 'Kluane/Wrangell-St Elias/Glacier Bay/Tatshenshini-Alsek' and 'Waterton Glacier International Peace Park'.\",\n \"Correctness Details\": {\n \"Kluane/Wrangell-St Elias/Glacier Bay/Tatshenshini-Alsek\": true,\n \"Waterton Glacier International Peace Park\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1119, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 133, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.43} {"qid": "dsfull-121", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1cb94b87b4c391c92c7101ffe6d093542285b9c554ae22c6a82ad94a46fa2f75", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Denmark' as the country that fits all the criteria specified in the prompt. The response directly provides the correct country name.\",\n \"Correctness Details\": {\n \"Denmark\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 865, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 80, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.738} {"qid": "dsfull-122", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "180e5d145c5872f790fbdb959e43df3557113835d33f8d085fba55c50a2ec617", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the MPs specified in the correct answer. The prompt asked for MPs who won their first election after the referendum, representing constituencies that voted 30% or less for the uppermost option (Remain). The AI correctly interpreted the conditions and provided the exact list of MPs.\",\n \"Correctness Details\": {\n \"Giles Watling\": true,\n \"Jack Brereton\": true,\n \"Ben Bradley\": true,\n \"Eddie Hughes\": true,\n \"Stephanie Peacock\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1161, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 146, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.567} {"qid": "dsfull-125", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "96520876bda6f3a0334f39089cb3ca217fcb4ed57530a9e5ecfaebcc3f00aabc", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'California' as the state with the greatest increase in traffic fatalities, which matches the single correct answer provided.\",\n \"Correctness Details\": {\n \"California\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 844, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 77, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.857} {"qid": "dsfull-124", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a491f3fbd48277531a78f5c6346b9f31983709d45fdad10b812ae4a0101e6a16", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'SIN' as the IATA code for the airport matching the criteria, which aligns with the correct answer.\",\n \"Correctness Details\": {\n \"SIN\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 990, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 77, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.165} {"qid": "dsfull-129", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ed37968c08ec9fe2e1c677aebc74c2d6ba284446b0a04297b11049a91b8629d2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the Dominican Republic and Costa Rica as the two countries with the most similar amount of protected land percentage-wise, matching the correct answer.\",\n \"Correctness Details\": {\n \"Dominican Republic and Costa Rica\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 853, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 87, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.027} {"qid": "dsfull-128", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8a14ddb08184eb5d1b1711a9274bd85f5a24871c0792ee6f78cb2751fed5cf41", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both India and Japan, which are the two nations specified in the correct answer. The AI also provides supporting data and sources, and even addresses a potential ambiguity in the prompt's wording about the increase period, which is helpful.\",\n \"Correctness Details\": {\n \"India\": true,\n \"Japan\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1093, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 108, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.406} {"qid": "dsfull-127", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "df6fb6f14203f03528f7cf9d4556c3a7920bf62bd01ae4f8912a6763123b0a7c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four Vice Presidents who meet the specified criteria: Theodore Roosevelt, Calvin Coolidge, Richard Nixon, and George H. W. Bush. It also provides a clear table with the supporting electoral vote percentages for both the president they served and their own presidency, fulfilling the 'Set Answer' prompt type without any excessive information.\",\n \"Correctness Details\": {\n \"Theodore Roosevelt\": true,\n \"Calvin Coolidge\": true,\n \"Richard Nixon\": true,\n \"George H. W. Bush\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1155, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 149, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.649} {"qid": "dsfull-130", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e63fb060cb52e5e164fba295446085a1f3a7a177afb0fbdcf7eaaf06fa0a6419", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identified Stoke-on-Trent, but incorrectly included Derby instead of Wakefield. The prompt asked for a specific filtering process, and Derby is not part of the correct final list.\",\n \"Correctness Details\": {\n \"Wakefield\": false,\n \"Stoke-on-Trent\": true\n },\n \"Excessive Answers\": [\n \"Derby\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1028, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 110, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 1, "false_negatives": 1, "precision": 0.5, "recall": 0.5, "f1": 0.5, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.425} {"qid": "dsfull-131", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "cdad49151204eae144c62b877fa5cf1cc229d74e1cd0a9220d2c2eb81d3c76e6", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all countries from the provided correct answer: Bahrain, Estonia, and Latvia. The response uses semicolons instead of commas, but this does not detract from the correctness of the answer as it still provides a list of the requested countries.\",\n \"Correctness Details\": {\n \"Estonia\": true,\n \"Bahrain\": true,\n \"Latvia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 893, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 119, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.499} {"qid": "dsfull-133", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b6938941528313c59a62861f335893545969c1189758d70a0a529f0ae7b562bb", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all six counties that voted for McCain, Romney, Clinton, and Biden. All expected answers are present in the response.\",\n \"Correctness Details\": {\n \"Orange County\": true,\n \"Cobb County\": true,\n \"Gwinnett County\": true,\n \"Henry County\": true,\n \"Anne Arundel County\": true,\n \"Fort Bend County\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 962, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 125, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.166} {"qid": "dsfull-132", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "23e8f275c207a45e7633bed9df06b689161b9379126c49d90bf465a5b79fea4c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four unique Pokemon that can learn Psychic by level-up in Gen 1 from the teams of Gym leaders and Elite 4 members in Pokemon Red: Kadabra, Venomoth, Alakazam, and Slowbro.\",\n \"Correctness Details\": {\n \"Kadabra\": true,\n \"Venomoth\": true,\n \"Alakazam\": true,\n \"Slowbro\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 966, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 127, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.354} {"qid": "dsfull-134", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "cc79bac7b0f7ff9eac03b4dca643c98f1801cab3df082c7c18dc97a599d016d5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Jean Martinon, Sir Thomas Beecham, Charles Munch, Andr\u00e9 Cluytens. However, it missed James Conlon and Andr\u00e9 Vandernoot, and included Sergiu Celibidache, Daniele Gatti, and D\u00e9sir\u00e9-\u00c9mile Inghelbrecht as excessive answers.\",\n \"Correctness Details\": {\n \"Jean Martinon\": true,\n \"Sir Thomas Beecham\": true,\n \"Charles Munch\": true,\n \"James Conlon\": false,\n \"Andr\u00e9 Vandernoot\": false,\n \"Andr\u00e9 Cluytens\": true\n },\n \"Excessive Answers\": [\n \"Sergiu Celibidache\",\n \"Daniele Gatti\",\n \"D\u00e9sir\u00e9-\u00c9mile Inghelbrecht\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1053, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 194, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 3, "false_negatives": 2, "precision": 0.5714285714285714, "recall": 0.6666666666666666, "f1": 0.6153846153846153, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.586} {"qid": "dsfull-137", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8e20f293f470bd934b79d29732c058fc7b82e1b009fff1833875218e7b98aa42", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four candidates listed in the correct answer: Louise Haigh, Kerry McCarthy, Karin Smyth, and Thangam Debbonaire. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Louise Haigh\": true,\n \"Kerry McCarthy\": true,\n \"Karin Smyth\": true,\n \"Thangam Debbonaire\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1025, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 119, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.013} {"qid": "dsfull-136", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b063befb018b93f5ca591bdc54ba3e1ba62eaee6daf98f64eeee0e31d99168a3", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Zimbabwe as the answer, matching the provided correct answer. It also provides supporting details for its conclusion.\",\n \"Correctness Details\": {\n \"Zimbabwe\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 988, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 75, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.05} {"qid": "dsfull-135", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "886ffdac3d8e58a2a53246955f7dfba85f1507010a020e551496bdd3d80e9e8d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies Christi Craddick as having the largest margin of victory. The correct answer is Wayne Christian.\",\n \"Correctness Details\": {\n \"Wayne Christian\": false\n },\n \"Excessive Answers\": [\n \"Christi Craddick\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 880, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 87, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.087} {"qid": "dsfull-138", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ec91d3fd51ea9570a8537ba25e5f0b59c3bc04345122a563c58a6df97b3fdb96", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The correct answer is 'Tucson'. The AI response includes 'Tucson' but also lists several other CBSAs (Nogales, Phoenix-Mesa-Chandler, Yuma) which are not part of the correct answer.\",\n \"Correctness Details\": {\n \"Tucson\": true\n },\n \"Excessive Answers\": [\n \"Nogales\",\n \"Phoenix-Mesa-Chandler\",\n \"Yuma\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 936, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 129, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 3, "false_negatives": 0, "precision": 0.25, "recall": 1.0, "f1": 0.4, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.064} {"qid": "dsfull-140", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "04c3331a004270160be639917462a15fc1804527022ad9176a8b9459c10f3ce6", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all three Pulitzer Prize winners for History between 1990 and 1995 who meet the specified criteria: Laurel Thatcher Ulrich, Gordon S. Wood, and Doris Kearns Goodwin. The response provides details for each, confirming their Ivy League professorships.\",\n \"Correctness Details\": {\n \"Laurel Thatcher Ulrich\": true,\n \"Gordon S. Wood\": true,\n \"Doris Kearns Goodwin\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1168, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 132, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.061} {"qid": "dsfull-139", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9f1d88b8495ba9a04bcb26e5209bce89f9fcab1046337e5b3eb5ca2ebbefb435", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identifies Doris Lessing, Alice Munro, and Abdulrazak Gurnah. However, it omits Patrick White, who also fits the criteria.\",\n \"Correctness Details\": {\n \"Patrick White\": false,\n \"Doris Lessing\": true,\n \"Alice Munro\": true,\n \"Abdulrazak Gurnah\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 876, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 114, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.75, "f1": 0.8571428571428571, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.168} {"qid": "dsfull-141", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "066338055c90238ffb632c33d09532d0ea0a0bdb779aefa46c18841fdecbcfda", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the title of the first Unbound blog post written by the author of 'Exploring Yellowstone in 1919' as 'Chocolate Rabbits and\u2026Elephants!', which matches the provided correct answer.\",\n \"Correctness Details\": {\n \"Chocolate Rabbits and\u2026Elephants!\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 957, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 103, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.203} {"qid": "dsfull-142", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7546375bd3825ba7b28b9ea7cbfa22206fbf07c7ce5d71e5c621e071081f63fd", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Martha Dean, Stephen Fournier, and Peter Goselin from the correct answer list. However, it missed Kie Westby and included Robert Farr and Nancy Burton as excessive answers which were not in the correct answer.\",\n \"Correctness Details\": {\n \"Peter D Goselin\": true,\n \"Kie Westby\": false,\n \"Stephen E. Fournier\": true,\n \"Martha Dean\": true\n },\n \"Excessive Answers\": [\n \"Robert Farr\",\n \"Nancy Burton\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 940, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 142, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 2, "false_negatives": 1, "precision": 0.6, "recall": 0.75, "f1": 0.6666666666666665, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.058} {"qid": "dsfull-143", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "50e07686373b395ef088e43c054a7f0c27470c963c12c42d536ecd2ac0edffff", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Alberta' as the Canadian region with the greatest decrease, which matches the correct answer. The response also provides supporting data from Statistics Canada, which enhances its credibility.\",\n \"Correctness Details\": {\n \"Alberta\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 947, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 88, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.92} {"qid": "dsfull-145", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "842f11fd85d7980e30107bad33e5fcb860d5df4bc476204b3d6704b8ed06365c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies Berlin as the second-highest CO2 emitter. The correct answer, based on the provided data, is Amsterdam.\",\n \"Correctness Details\": {\n \"Amsterdam\": false\n },\n \"Excessive Answers\": [\n \"Berlin\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 874, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 86, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 0.971} {"qid": "dsfull-144", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "74af7bc056aac8e6485bd0dd04dce1fd87e2257c3472f45e32ef7b5783ff744c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Fourth Wing by Rebecca Yarros'. However, it also included 'Icebreaker by Hannah Grace' as an answer, which is not in the correct answer set and is therefore excessive.\",\n \"Correctness Details\": {\n \"Fourth Wing by Rebecca Yarros\": true\n },\n \"Excessive Answers\": [\n \"Icebreaker by Hannah Grace\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1049, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 109, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 1, "false_negatives": 0, "precision": 0.5, "recall": 1.0, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.296} {"qid": "dsfull-147", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c32ffd314a763ff6621a6b7456ef7748138103ed4def5b2676f3c41b2aec9c09", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Switzerland as the country with the least number of airports among the four countries that transported more goods by air in 2022. It explicitly states 'Switzerland, with 63 airports' and provides a table supporting this.\",\n \"Correctness Details\": {\n \"Switzerland\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1049, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 101, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.011} {"qid": "dsfull-146", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "458a483f33b47a947b351ca32269cd95df20f2ce77431db2ebee0b2b27da12b1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both California and Florida as the qualifying states, matching the correct answer. The detailed table further supports these choices by providing evidence for each condition mentioned in the prompt.\",\n \"Correctness Details\": {\n \"California\": true,\n \"Florida\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1218, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 94, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.553} {"qid": "dsfull-149", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1e2749a9c5b78db034dcac32cc3a83e015e1bbfd44ec0cb958f36c0d786f7b92", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Anderson County' as the answer, which matches the single correct answer provided.\",\n \"Correctness Details\": {\n \"Anderson County\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 907, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 72, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.793} {"qid": "dsfull-126", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "79dcd072e77ecef3c62189ef2425f7c37eb98668d5097bee7c749da73a3188b8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response provided lists for all four requested categories. The first list of states with aviation incidents/accidents is largely correct, with some missing and excessive states compared to the correct answer. The second list, states with at least one fatal occurrence, is mostly correct, with one missing state (South Carolina) and one excessive state (Alabama). The third list of states with more than one fatal occurrence is partially correct, missing one state (Georgia) and including one excessive state (Texas). The fourth part, identifying the state with the most fatal accidents/incidents, incorrectly identifies Texas as tied for the most, while missing Georgia. It also fails to provide the full list of tied states in the 'Final Answer' section, only providing them individually.\",\n \"Correctness Details\": {\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nAlaska\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nNorth Carolina\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nFlorida\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nUtah\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nColorado\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nTennessee\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nMissouri\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nWyoming\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nHawaii\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nMinnesota\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nOregon\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nVirginia\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nIdaho\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nCalifornia\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nMichigan\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nAlabama\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nTexas\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nArizona\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nMaryland\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nIllinois\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nLouisiana\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nNew Jersey\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nGeorgia\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nWashington\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nKansas\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nOhio\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nNew York\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nArkansas\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nNew Mexico\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nMontana\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nNorth Dakota\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nIowa\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nOklahoma\": true,\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nSouth Carolina\": true,\n \"Aviation accidents/incidents with at least one fatality:\\nCalifornia\": true,\n \"Aviation accidents/incidents with at least one fatality:\\nFlorida\": true,\n \"Aviation accidents/incidents with at least one fatality:\\nGeorgia\": true,\n \"Aviation accidents/incidents with at least one fatality:\\nWashington\": true,\n \"Aviation accidents/incidents with at least one fatality:\\nVirginia\": true,\n \"Aviation accidents/incidents with at least one fatality:\\nAlaska\": true,\n \"Aviation accidents/incidents with at least one fatality:\\nTexas\": true,\n \"Aviation accidents/incidents with at least one fatality:\\nTennesee\": true,\n \"Aviation accidents/incidents with at least one fatality:\\nMontana\": true,\n \"Aviation accidents/incidents with at least one fatality:\\nArkansas\": true,\n \"The states that had more than one accident/incident resulting in at least one fatality:\\nVirginia\": true,\n \"The states that had more than one accident/incident resulting in at least one fatality:\\nCalifornia\": true,\n \"The states that had more than one accident/incident resulting in at least one fatality:\\nGeorgia\": true,\n \"Tied for the \u201cstate with most fatal accidents/incidents\u201d:\\nVirginia (2)\": true,\n \"Tied for the \u201cstate with most fatal accidents/incidents\u201d:\\nCalifornia (2)\": true,\n \"Tied for the \u201cstate with most fatal accidents/incidents\u201d:\\nGeorgia (2)\": true\n },\n \"Excessive Answers\": [\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nIndiana\",\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nMississippi\",\n \"Aviation incident/accident from May 1, 2024 to May 31, 2024:\\nPennsylvania\",\n \"Aviation accidents/incidents with at least one fatality:\\nAlabama\",\n \"The states that had more than one accident/incident resulting in at least one fatality:\\nTexas\",\n \"Tied for the \u201cstate with most fatal accidents/incidents\u201d:\\nTexas (2)\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1688, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 1912, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 50, "false_positives": 6, "false_negatives": 0, "precision": 0.8928571428571429, "recall": 1.0, "f1": 0.9433962264150945, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 7.538} {"qid": "dsfull-148", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "fbfb7a76612fb0c0ebdd334b3431341f114c5755ff7216514084446551211669", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the states listed in the correct answer. The states are also in alphabetical order as requested by the prompt.\",\n \"Correctness Details\": {\n \"Arizona\": true,\n \"California\": true,\n \"Colorado\": true,\n \"Connecticut\": true,\n \"Florida\": true,\n \"Georgia\": true,\n \"Illinois\": true,\n \"Indiana\": true,\n \"Kentucky\": true,\n \"Louisiana\": true,\n \"Maryland\": true,\n \"Massachusetts\": true,\n \"Michigan\": true,\n \"Minnesota\": true,\n \"Missouri\": true,\n \"New Jersey\": true,\n \"New York\": true,\n \"North Carolina\": true,\n \"Ohio\": true,\n \"Oregon\": true,\n \"Pennsylvania\": true,\n \"Tennessee\": true,\n \"Texas\": true,\n \"Virginia\": true,\n \"Washington\": true,\n \"Wisconsin\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1051, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 255, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 26, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.032} {"qid": "dsfull-150", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c834445de97771d197415c56d595ba5e926e289d80132569b10188532b7e4968", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the title of the review and its author, which matches the provided correct answer. It also provides additional context that supports the answer's relevance to the prompt.\",\n \"Correctness Details\": {\n \"\\\"footnotes nonpareil\\\": \\\"Ulysses\\\", Authority, Error, and Annotation,\\\" Jeri Johnson\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1119, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 107, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.263} {"qid": "dsfull-152", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1c77d8020c897200133393d28059ee9076d5bc91f3b8c40c8cbce5b971bc726c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response states that it could not fully verify the source lists and then provides an answer that is incorrect. The correct answer, based on the provided criteria, is 'Garments', while the AI response suggests 'Refined petroleum'.\",\n \"Correctness Details\": {\n \"Garments\": false\n },\n \"Excessive Answers\": [\n \"Refined petroleum (petroleum products)\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 856, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 113, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.068} {"qid": "dsfull-151", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0a5bfe32cb0fca51c9508064bf6b5a7a69762d9141a4f7a8618a451a23f4ea37", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all three site designations from the prompt.\",\n \"Correctness Details\": {\n \"National Parks\": true,\n \"National Recreation Areas\": true,\n \"National Memorials\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 902, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 82, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.177} {"qid": "dsfull-157", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "db3c76349ded95e4ca4d3176e80fd08df6caef1483e52a3a774538629fa4b6e8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Alaska as the state with the lowest population among those meeting the specified criteria, aligning with the correct answer.\",\n \"Correctness Details\": {\n \"Alaska\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1026, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 76, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.0} {"qid": "dsfull-154", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c7afc38a8f7edebfa9dd52e0ae43d4d1a21325de4223410640d7106c867c30b3", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the prefixes from the provided correct answer. It lists *s-, *m-, *a-, *r-, *b-, *g-, and *d-.\",\n \"Correctness Details\": {\n \"*s-\": true,\n \"*m-\": true,\n \"*a-\": true,\n \"*r-\": true,\n \"*b-\": true,\n \"*g-\": true,\n \"*d-\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 995, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 138, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 7, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.097} {"qid": "dsfull-155", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e3cac6ce0715aa4d27f5e1d3f0251d45148a97555cf54db243a4294b14d49b2d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Joint hypermobility syndrome' as the cause of symptoms like poor balance and coordination, which is consistent with the correct answer 'Hypermobility'. The response also provides helpful links to the NHS website.\",\n \"Correctness Details\": {\n \"Hypermobility\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 884, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 99, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.076} {"qid": "dsfull-156", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "82141ccaf604bfbc952ee1b65050607d8b03a033386392ee40b8b8609c145c1d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response incorrectly identifies Romania as a correct answer and misses France and Greece. The AI's 'Data-availability caveat' indicates that it couldn't find airport data for France and Greece, leading to their exclusion from the final answer, which is incorrect as the correct answer includes them.\",\n \"Correctness Details\": {\n \"Spain\": true,\n \"France\": false,\n \"Greece\": false\n },\n \"Excessive Answers\": [\n \"Romania\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1355, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 130, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 1, "false_negatives": 2, "precision": 0.5, "recall": 0.3333333333333333, "f1": 0.4, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.686} {"qid": "dsfull-153", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "39a9c97a81f6f66f28d96c4987676c92698de7eb61c48ab6a2edfd9de424e163", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Franklinia alatamaha' and 'Neomonachus tropicalis'. However, it missed 'Delissea subcordata' and 'Galba vancouverensis'. Additionally, it included several species that were not part of the correct answer, such as 'Akialoa ellisiana', 'Akialoa lanaiensis', 'Akialoa obscura', 'Akialoa stejnegeri', 'Dysmorodrepanis munroi', 'Himatione fraithii', 'Melanoplus spretus', 'Moho apicalis', 'Myadestes woahensis', and 'Paroreomyza flammea'.\",\n \"Correctness Details\": {\n \"Franklinia alatamaha\": true,\n \"Delissea subcordata\": false,\n \"Neomonachus tropicalis\": true,\n \"Galba vancouverensis\": false\n },\n \"Excessive Answers\": [\n \"Akialoa ellisiana\",\n \"Akialoa lanaiensis\",\n \"Akialoa obscura\",\n \"Akialoa stejnegeri\",\n \"Dysmorodrepanis munroi\",\n \"Himatione fraithii\",\n \"Melanoplus spretus\",\n \"Moho apicalis\",\n \"Myadestes woahensis\",\n \"Paroreomyza flammea\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1118, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 332, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 10, "false_negatives": 2, "precision": 0.16666666666666666, "recall": 0.5, "f1": 0.25, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.384} {"qid": "dsfull-160", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c51479efc8d922a6e9ed630bb1deaf6abafb721e7c7d2940dc23f30b0b6c1aad", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies Utah as the state with the highest percentage increase. The correct answer, based on the provided information, is Montana.\",\n \"Correctness Details\": {\n \"Montana\": false\n },\n \"Excessive Answers\": [\n \"Utah\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1032, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 86, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.233} {"qid": "dsfull-158", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "bcab9889b01dae9edcfe1da0ce48f810869201719f3b14a7d30d7118fc3c1b1c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Harvard University, Princeton University, Stanford University, and Yale University. However, it missed Columbia University from the correct answer set.\",\n \"Correctness Details\": {\n \"Columbia University\": false,\n \"Harvard University\": true,\n \"Princeton University\": true,\n \"Stanford University\": true,\n \"Yale University\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 907, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 113, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.8, "f1": 0.888888888888889, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.269} {"qid": "dsfull-162", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3299891bfe19947c6c60b4ed002619c2503614fe1c4e59692ef61ca3e66d407e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the states listed in the correct answer and presents them in the specified order (descending order based on population gain). No excessive answers were found.\",\n \"Correctness Details\": {\n \"Texas\": true,\n \"Michigan\": true,\n \"Ohio\": true,\n \"New York\": true,\n \"Illinois\": true,\n \"Pennsylvania\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1258, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 121, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.019} {"qid": "dsfull-159", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0abf1cdc642731bb834db8d3233ce694b4548ac9f6a1ee8c063e379ab9f98277", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Connecticut and Massachusetts, which are part of the correct answer. However, it also included Minnesota, New Jersey, and Rhode Island, which are not mentioned in the correct answer. The correct answer also explicitly lists Vermont, which the AI response missed.\",\n \"Correctness Details\": {\n \"Connecticut (2003, 2004, 2005)\": true,\n \"Massachusetts (2000, 2001, 2002, 2003, 2004, 2005)\": true,\n \"Vermont (2002, 2003)\": false\n },\n \"Excessive Answers\": [\n \"Minnesota\",\n \"New Jersey\",\n \"Rhode Island\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 932, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 205, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 3, "false_negatives": 1, "precision": 0.4, "recall": 0.6666666666666666, "f1": 0.5, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.054} {"qid": "dsfull-161", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ab08e0f4b903926d10f0b7d718749938c77ecd8ff9f7424baa02fd7bcf5b0d82", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response identifies 35-44 and 45-54. The correct answer specifies 35-50 and 51-64. While there is overlap, the age groups are not an exact match for the first part (44 vs 50) and the second part (45-54 vs 51-64) is completely different.\",\n \"Correctness Details\": {\n \"35 - 50\": false,\n \"51 - 64\": false\n },\n \"Excessive Answers\": [\n \"35\u201344\",\n \"45\u201354\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 934, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 170, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 2, "false_negatives": 2, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.615} {"qid": "dsfull-163", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a483c56945dbcf9645e6bf7c07d613a2d7641ebbe3d26ea72cbddab8355365fb", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both Norway and Switzerland as the countries that ranked in the top ten for all three specified metrics, matching the provided correct answer.\",\n \"Correctness Details\": {\n \"Norway\": true,\n \"Switzerland\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 939, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 87, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.136} {"qid": "dsfull-164", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "78aadc3c71141f4db565c7551ceef04faa660a270b773cbbb73d0956346358c1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the strategic priorities that received or are planned to receive less funding than in the previous year, along with the correct year of decrease. The format of the years, e.g., '2024-2025 planned' versus '2024-2025', is a minor stylistic difference and does not affect correctness.\",\n \"Correctness Details\": {\n \"Economic Development (2024-2025)\": true,\n \"Government Performance & Financial Management (2023-2024)\": true,\n \"Housing & Homelessness Solutions (2024-2025)\": true,\n \"Quality of Life, Arts, & Culture (2023-2024)\": true,\n \"Workforce, Education, & Equity (2024-2025)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1447, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 232, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.549} {"qid": "dsfull-165", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "10c53c5e4ca90b623ce7444c41d73cb831b5e5aed6601d6b4c0ed4f447feba19", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies '2021' as the year that meets the specified criteria, aligning with the provided correct answer. It also provides supporting data that corroborates this answer.\",\n \"Correctness Details\": {\n \"2021\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 940, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 91, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.203} {"qid": "dsfull-167", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "647eebfbc680c9d39d8c1f76163818244fc1802d968c6baf609a79a2dd78f766", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies California as the only qualifying state, which matches the provided correct answer. It also provides supporting data that is consistent with the prompt's criteria.\",\n \"Correctness Details\": {\n \"California\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 933, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 84, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.939} {"qid": "dsfull-168", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4438cb66880045d26e487a979a01f47e584ca81c66c5dd636df6caffd61feba1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both 'Chinese Cold Noodle Salad' and 'Cheese Foam Tea' as specified in the correct answer. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Chinese Cold Noodle Salad\": true,\n \"Cheese Foam Tea\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1022, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 95, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.257} {"qid": "dsfull-166", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0dcf92f3a596e8ccf048b353f830868e010fd091358786fb7532421247035530", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the requested information for each player. It provided the player's name, their final college, the coach in the 2022/2023 season, the player with the highest average points, and the player with the highest average rebounds. The response also followed the specified bulleted list format and alphabetical order by the player's first name. The only minor difference is 'Jacquelyn (Jackie) Young' vs. 'Jackie Young' and 'Dorka Juhasz' vs. 'Dorka Juh\u00e1sz', which are essentially the same answer.\",\n \"Correctness Details\": {\n \"Allisha Gray, University of South Carolina, Dawn Staley, Zia Cooke, Aliyah Boston\": true,\n \"Jacquelyn (Jackie) Young, University of Notre Dame, Niele Ivey, Sonia Citron, Olivia Miles\": true,\n \"Kelsey Plum, University of Washington, Tina Langley, Dalayah Daniels, Dalayah Daniels\": true,\n \"Stefanie Dolson, University of Connecticut, Geno Auriemma, Aaliyah Edwards, Dorka Juhasz\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1192, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 275, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.591} {"qid": "dsfull-169", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9169267cee8f7960c192c74f8736f3a44ac5d4b722e58e4a82dc80d5a9d4c606", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the years (2018, 2019, 2022) that meet both conditions specified in the prompt. It explicitly states these years as the final answer and mentions that they satisfy both the income/expenditure growth and the asset value conditions.\",\n \"Correctness Details\": {\n \"2018\": true,\n \"2019\": true,\n \"2022\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1213, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 136, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.076} {"qid": "dsfull-170", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6a662bc2a175afaa9b353ef18742ee13166f6b3bf975ba685aaa45fdf80b4efe", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies that the main gatehouse entrance of the castle faces west, which matches the correct answer.\",\n \"Correctness Details\": {\n \"West\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1025, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 73, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.265} {"qid": "dsfull-171", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "88ca7c2d3260ca980b3ca158c2d928e572c4dbd7132133282bef1c20449fc577", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identifies both President George W. Bush and President Barack Obama, matching the correct answer exactly. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"President George W. Bush\": true,\n \"President Barack Obama\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1075, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 90, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.273} {"qid": "dsfull-172", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2d4d61aa38a50193d20d1cd89124c6d3027cef9cb048a7f5da971c63da446a51", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Pamela Melroy as the crew member, which matches the provided correct answer. The explanation provided by the AI also correctly traces all the clues.\",\n \"Correctness Details\": {\n \"Pamela Melroy\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1225, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 86, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.308} {"qid": "dsfull-174", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "18a215b29d7791aace7631283cca15e4a8be09634ad5db40ba71202827fd7f18", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response failed to provide one of the correct answers, 'Other', and included 'Convenience stores' and 'Small grocery stores' which are not listed in the correct answer. The AI also explicitly stated it could not retrieve the report to verify percentages, which indicates it could not provide a definitive answer.\",\n \"Correctness Details\": {\n \"Small market\": false,\n \"Other\": false\n },\n \"Excessive Answers\": [\n \"Small grocery stores\",\n \"Convenience stores\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 867, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 137, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 2, "false_negatives": 2, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.176} {"qid": "dsfull-175", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a59f50c1878589c7c8e0ed011fa753af6a2926de6b58e4f837347404000ba884", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three demographics that meet the specified criteria: Students with Disabilities, English Language Learner, and Homeless. No excessive answers are provided.\",\n \"Correctness Details\": {\n \"Students with Disabilities\": true,\n \"English Language Learner\": true,\n \"Homeless\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 996, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 102, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.938} {"qid": "dsfull-173", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "207c77cd73bcbe778be5046279cceb94380b59265dbe8c76d35f3c9e2fc5eccc", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Kingston as the first station on the route with both ticket gates and step-free access for all platforms, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Kingston\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 890, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 83, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.77} {"qid": "dsfull-176", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "dfcf4b3fadefd4837f39f243684957fcdfa0e2a6f8942a0f6ac8d456361c781e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Capital Region rural district' as the answer, which matches the provided correct answer. The AI also provides additional context and a reference to the government page, which is helpful but not part of the required answer.\",\n \"Correctness Details\": {\n \"Capital Region rural district\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 909, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 100, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.929} {"qid": "dsfull-178", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5fb828e5d6f5a32b09fc6ede4c2937308b5ab302327b0498b06c9163cc3420d8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the components of 'Donations and legacies' as listed in the correct answer: 'Appeals and gifts', 'legacies', and 'operating grants and contributions'. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Appeals and gifts\": true,\n \"legacies\": true,\n \"operating grants and contributions\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 994, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 118, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.01} {"qid": "dsfull-179", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5008cdde25ddcfa1eeacc3da550167be98f4a0a20aefbb5663257d3be49d3bb6", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response states 'Poland' as the answer, but the correct answer is 'Switzerland'. Therefore, the AI response is incorrect.\",\n \"Correctness Details\": {\n \"Switzerland\": false\n },\n \"Excessive Answers\": [\n \"Poland\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 848, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 85, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.024} {"qid": "dsfull-180", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "86e716af7d5d6d4a08bef8ba7d95267825dc41a2de66efe0da5b773c649f4165", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both 'Meakandake' and 'Tokachidake' which are the two correct answers according to the provided ground truth. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Meakandake\": true,\n \"Tokachidake\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 984, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 101, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.874} {"qid": "dsfull-177", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7cb08a6bbfe82e120bffb0a30f841fef654ea04bf5004f3b4e9d1f586ca68b6c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Canterbury Christ Church University as the best match, providing details that align with all the user's criteria. It also correctly states that the university is 9th for English in The Guardian 2024 ranking and has a career after 15 months rating of 79 which is over 75 across all subjects. Furthermore, it accurately states that the university is located in Canterbury, which is closest to Ashford (Kent).\",\n \"Correctness Details\": {\n \"Canterbury Christ Church University\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1102, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 148, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.585} {"qid": "dsfull-182", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c085d09d2fe41778916291120266934f3320e61e1bc41f9afec3f79f4fab7e80", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Barr, Comer, and Guthrie. However, it also included Massie, Mooney, and Rogers, which are not in the correct answer set. The prompt asked for a comma-separated list, and the AI used semicolons.\",\n \"Correctness Details\": {\n \"Barr\": true,\n \"Comer\": true,\n \"Guthrie\": true\n },\n \"Excessive Answers\": [\n \"Massie\",\n \"Mooney\",\n \"Rogers\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 889, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 138, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 3, "false_negatives": 0, "precision": 0.5, "recall": 1.0, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.21} {"qid": "dsfull-181", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b8fc016791c40b57c12d26f430b13f7330a7299e24358c0f3987e548110926b8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all 24 states where John F. Kennedy received more votes than Nixon. It also accurately lists the five states with the smallest vote differences and their respective vote differences, matching the correct answer perfectly.\",\n \"Correctness Details\": {\n \"Alabama\": true,\n \"Arkansas\": true,\n \"Connecticut\": true,\n \"Delaware\": true,\n \"Georgia\": true,\n \"Hawaii\": true,\n \"Illinois\": true,\n \"Louisiana\": true,\n \"Maryland\": true,\n \"Massachusetts\": true,\n \"Michigan\": true,\n \"Minnesota\": true,\n \"Mississippi\": true,\n \"Missouri\": true,\n \"Nevada\": true,\n \"New Jersey\": true,\n \"New Mexico\": true,\n \"New York\": true,\n \"North Carolina\": true,\n \"Pennsylvania\": true,\n \"Rhode Island\": true,\n \"South Carolina\": true,\n \"Texas\": true,\n \"West Virginia\": true,\n \"Hawaii - 115 votes\": true,\n \"New Mexico - 2294 votes\": true,\n \"Nevada - 2493 votes\": true,\n \"Delaware - 3217 votes\": true,\n \"Illinois - 8858 votes\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1246, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 338, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 29, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.96} {"qid": "dsfull-185", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4f9f99b819cfff757550e7990d51f19549f646523127d8bd588e214ad0d53460", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both Los Angeles International Airport and Orlando International Airport as having a temperature difference less than 17 degrees Fahrenheit, matching the correct answer. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Los Angeles International Airport\": true,\n \"Orlando International Airport\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1178, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 100, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.923} {"qid": "dsfull-184", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9099ae38ff669ae2d299365e5f5df1b06729f3c4c085eb96e971293739d86969", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly states 2018 as the year with the most articles, whereas the correct answer is 2020. The AI also mentions a limitation in its ability to verify the data, which indicates it was not confident in its answer.\",\n \"Correctness Details\": {\n \"2020\": false\n },\n \"Excessive Answers\": [\n \"2018\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 873, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 117, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.278} {"qid": "dsfull-183", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "295e6ae246b5866beaa4e164f79185e88424a33cd061c28b5cd27695177faf62", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly states that Councillor Simon Warley represented Tankerton ward in 2023, which is not the correct answer. The correct ward is West Bay.\",\n \"Correctness Details\": {\n \"West Bay\": false\n },\n \"Excessive Answers\": [\n \"Tankerton\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 944, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 95, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.437} {"qid": "dsfull-188", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "78f94a0fdc0e335d480fba142fa078e4e3ab83c2e35926cdd66574fb2f204175", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Daniel John Bridgewater and Richard John Tylka as candidates who stood for election in districts north of the Swan River, which aligns with the correct answer. The AI also provides additional context about the parties and districts.\",\n \"Correctness Details\": {\n \"Daniel John Bridgewater\": true,\n \"Rick Tylka\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1133, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 107, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.026} {"qid": "dsfull-187", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6c940dd6430dd2f4df29d50ee027ef4f30332385ff523a9178e06b9ada401f28", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the year as 1958, the laureates as Pavel Cherenkov, Ilya Frank, and Igor Tamm, all born in Russia. It then correctly states that Russia was part of the Soviet Union in 1958 and that its capital was Moscow, which is the correct answer to the prompt.\",\n \"Correctness Details\": {\n \"Moscow\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1006, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 119, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.199} {"qid": "dsfull-189", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6d07376be4314d6aa7509de638d15f1ea1f084cd21d5719076f3fdc9c9eeaaf6", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'March 2022' as the exam period with the highest percentage of A grades in English Language, which matches the correct answer.\",\n \"Correctness Details\": {\n \"March 2022\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1016, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 89, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.12} {"qid": "dsfull-186", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "012cadbc8fbc7301c82600b661b31a7df305e42646a911515b1a1766c5c41f1a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both Tyrannosaurus Rex and Tyrannosaurus Mcraeensis as types of the genus Tyrannosaurus as of May 2024. It also provides additional context about disputed species, which is helpful but does not detract from the correctness of the primary answer.\",\n \"Correctness Details\": {\n \"Tyrannosaurus Rex\": true,\n \"Tyrannosaurus Mcraeensis\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1094, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 123, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.458} {"qid": "dsfull-192", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "41b2e3fad08f8e38288a72a9e98625ada478a749ccd59ea8db1d44f1f0372e4d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the representatives and senators who did not vote on the specified bills, matching every item in the correct answer.\",\n \"Correctness Details\": {\n \"Fazio\": true,\n \"Meehan\": true,\n \"Mollohan\": true,\n \"Poshard\": true,\n \"Stark\": true,\n \"Bumpers\": true,\n \"Glenn\": true,\n \"Hollings\": true,\n \"Inouye\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1100, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 146, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 9, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.173} {"qid": "dsfull-193", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9f9ded3200370aa6b8077a19cd3531bf5aa083dd1909e378d731dffa12f81c1e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Grain & grain products' as the commodity type that accounted for the greatest percentage of Union Pacific's revenue in 2023, excluding the premium category, which aligns with the correct answer.\",\n \"Correctness Details\": {\n \"Grain & grain products\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 928, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 99, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.109} {"qid": "dsfull-191", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4a694903f33eccc1081b9856f88c79d44d58f47b6f6b43ff5df68ea895841769", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly states 'Yellowstone' as the example for Ultra-Plinian Mega-colossal. The correct answer, as per the NPS page on VEI, is 'Mount Mazama'. The AI also states that the table's individual rows were not retrievable, which is incorrect, as the table rows are clearly visible and indicate Mount Mazama as the example for VEI 8.\",\n \"Correctness Details\": {\n \"Mount Mazama\": false\n },\n \"Excessive Answers\": [\n \"Yellowstone\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 920, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 144, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.621} {"qid": "dsfull-194", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9490e4be5e7d5442b50ce780a094b24924662c3e700edb463c5421ec31bd6c0a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Idaho as one of the states. However, it missed Utah, which also meets the criteria. The prompt asked for positive year-over-year job growth in 2021, and Utah did have positive growth in January 2021 (0.8%) after meeting the 2% growth in January 2020 (3.3%). The AI's interpretation of 'in 2021' as 'January 2021' aligns with how the database provides year-over-year data.\",\n \"Correctness Details\": {\n \"Idaho\": true,\n \"Utah\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1029, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 173, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.5, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.93} {"qid": "dsfull-195", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "54c9799dd5c974738f164fe270a6f5163d01d4bde67cf493eff83010afe85ed1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Sir William Batten' as the naval figure mentioned in every December except for December 1668, which matches the correct answer.\",\n \"Correctness Details\": {\n \"(Sir) William Batten\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 874, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 88, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.941} {"qid": "dsfull-197", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "08ded0ba305e936a24bd45e264538857e08e9c93b1f3d6cda87f1906ac0868b8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all four areas trending in the wrong direction within the specified section of the report. All items from the correct answer are present in the AI response.\",\n \"Correctness Details\": {\n \"Were threatened or injured with a weapon at school\": true,\n \"did not go to school because of safety concerns\": true,\n \"were ever forced to have sex\": true,\n \"experienced sexual violence by anyone\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 989, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 130, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.042} {"qid": "dsfull-196", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4ebc5fb88da2ab126b11ea6f8e95ac02e02d365af9357455aa795af474515d7d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified '5TH SUPREME - KARMEIER VACANCY' and '2ND SUPREME - THOMAS VACANCY'. However, it missed '3RD SUPREME - KILBRIDE VACANCY' from the correct answer set.\",\n \"Correctness Details\": {\n \"5TH SUPREME - KARMEIER VACANCY\": true,\n \"2ND SUPREME - THOMAS VACANCY\": true,\n \"3RD SUPREME - KILBRIDE VACANCY\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 943, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 141, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.6666666666666666, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.464} {"qid": "dsfull-198", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "be7638ecd3f47dd588afe51ecae1c7bcb5001c32775ee5444110f6ae98575d78", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both 'North Tyneside' and 'Stockton-on-Tees' as the local authority areas that meet the specified criteria, aligning perfectly with the provided correct answer. No excessive answers were included.\",\n \"Correctness Details\": {\n \"North Tyneside\": true,\n \"Stockton-on-Tees\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1035, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 113, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.276} {"qid": "dsfull-200", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2654d4d465979ff1cfe80496b1b92bc4cc0eb0d86db459d8dc335723b0fe0007", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four cities listed in the correct answer: Amarillo, Dumas, Hereford, and Pampa. There are no excessive answers provided.\",\n \"Correctness Details\": {\n \"Amarillo\": true,\n \"Dumas\": true,\n \"Hereford\": true,\n \"Pampa\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 884, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 106, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.003} {"qid": "dsfull-199", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ee7180e2d346663cdf822e938cc0da23651b46607a24cf51fb15c661ea0f0f4a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the athletes who scored more than 15 points, including their jersey numbers and points scored, and lists them in descending order of points as requested. The information perfectly matches the provided correct answer.\",\n \"Correctness Details\": {\n \"Jimmer Fredette - #32 (32 points)\": true,\n \"Alex Tyus - #23 (19 points)\": true,\n \"Kenny Boynton - #1 (17 points)\": true,\n \"Erving Walker - #11 (16 points)\": true,\n \"Chandler Parsons - #25 (16 points)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1086, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 177, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.698} {"qid": "dsfull-201", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c87161055cd240388010bb6b06816c11523d3f65878c1bbf6a29c8ffb693a128", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies France as the country with the highest recorded COVID-19 containment and health index based on the specified criteria. The response also provides a table that supports this conclusion, showing France with a higher peak index than Spain, which is the only other country meeting the criteria.\",\n \"Correctness Details\": {\n \"France\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1096, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 108, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.161} {"qid": "dsfull-202", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "72291eec8e52af774cec223e051951899a67e33b153c5aa9dfc667fbfb34deb2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both 'Audi S4 Quattro' and 'BMW 3-series/M3' as European makes from the Car and Driver magazine 2004 list of top 10 best cars. The response also correctly orders them by maximum price (ascending) as requested.\",\n \"Correctness Details\": {\n \"Audi S4 Quattro\": true,\n \"BMW 3-series/M3\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 948, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 128, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.368} {"qid": "dsfull-204", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1dd599a6bf79c80781a52d21e8fd8fdb330c0d05c73c7ff6004edb00abd9746d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the years listed in the correct answer: 2009, 2010, 2011, and 2012. There are no excessive answers.\",\n \"Correctness Details\": {\n \"2009\": true,\n \"2010\": true,\n \"2011\": true,\n \"2012\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 919, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 128, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.058} {"qid": "dsfull-203", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "97ba6afbe807c6ccade32e58e41b477628da27f05076253e54071cb95f6c4421", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identified Iran and the United Arab Emirates along with their non-fossil fuel energy sources. However, it incorrectly identified Iraq as the third country instead of Oman. The response also listed specific percentages for each energy source which was not requested.\",\n \"Correctness Details\": {\n \"United Arab Emirates (Nuclear, Solar)\": true,\n \"Iran (Nuclear, Solar, Wind, Hydroelectric)\": true,\n \"Oman (Solar, Wind)\": false\n },\n \"Excessive Answers\": [\n \"Iraq (Hydroelectricity, Solar)\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1271, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 150, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 1, "precision": 0.6666666666666666, "recall": 0.6666666666666666, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.541} {"qid": "dsfull-205", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "70facbd8eaa895858125266a12a3f714e065d59c9f7690e4d99a47ffc0355c1b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Arkansas: Pulaski County. However, it incorrectly identified the counties for Mississippi (Hinds County instead of Rankin County) and Louisiana (East Baton Rouge Parish instead of Caddo Parish).\",\n \"Correctness Details\": {\n \"Mississippi: Rankin County\": false,\n \"Arkansas: Pulaski County\": true,\n \"Louisiana: Caddo Parish\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1034, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 118, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 2, "precision": 1.0, "recall": 0.3333333333333333, "f1": 0.5, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.387} {"qid": "dsfull-206", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "509fcd06e2a5e42c7732f0d479d8d3222e45fde7a0f529757258c73341b0f176", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Czechia' as the single answer required by the prompt.\",\n \"Correctness Details\": {\n \"Czechia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1094, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 69, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.056} {"qid": "dsfull-207", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "09811b3271da5100d685afa81190b275054fa8eafc53e41a6dd80c6ba2ef83f4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the major urban areas listed in the correct answer: New Delhi, Mumbai, Kolkata, Bangalore, Chennai, and Hyderabad. There are no excessive answers.\",\n \"Correctness Details\": {\n \"New Delhi\": true,\n \"Mumbai\": true,\n \"Kolkata\": true,\n \"Bangalore\": true,\n \"Chennai\": true,\n \"Hyderabad\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 997, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 125, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.084} {"qid": "dsfull-209", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ce0b5fb3bdb6d225ff6879ec2fe74ecbae4a24c702e08450f53486db51c94961", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Arthritica semen' as the species with the least abundance, matching the correct answer.\",\n \"Correctness Details\": {\n \"Arthritica semen\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 927, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 77, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.024} {"qid": "dsfull-210", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "aa3fc4e9ccbbd3b7de80309bb4e1c38157baabda8763d1ea345e764bab2b36da", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three states (North Carolina, South Dakota, Vermont) from the correct answer list. It also provides additional context about the elections and a table with vote share percentages, which are relevant and helpful.\",\n \"Correctness Details\": {\n \"North Carolina\": true,\n \"South Dakota\": true,\n \"Vermont\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1199, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 111, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.002} {"qid": "dsfull-211", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "cde55f99dc19bd08a4c30ae7a50f49f8c00536ff92bb322bfdc7b6d429ad3410", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies '2005' as the year with the lowest rate of high school completion for all people age 25+ among the qualifying years, matching the correct answer.\",\n \"Correctness Details\": {\n \"2005\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1065, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 93, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.175} {"qid": "dsfull-208", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9329277e6d799d8c171fe0af80d6395c491d7da4b7f9fa81be41ba14d7fb9939", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The correct answer states that 2019/20 had the lowest difference, but the AI response concludes that 2020/21 and 2021/22 had the lowest difference, which contradicts the correct answer. The AI's calculation of the difference is also incorrect. Based on the provided data in the table, the difference for 2019/20 is 1.2%, for 2020/21 is 1.1%, and for 2021/22 is 1.1%. Therefore, 2020/21 and 2021/22 indeed have the lowest difference. However, the correct answer is 2019/20.\",\n \"Correctness Details\": {\n \"2019/20\": false\n },\n \"Excessive Answers\": [\n \"2020/21\",\n \"2021/22\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1078, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 242, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 2, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 2.135} {"qid": "dsfull-212", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "358a6a9d341b3ce246002dcf76f0ecb14e612876d063ea59b10d5e748bb56b83", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified the 'Leech Lake Reservation' as the answer to the prompt. It also added a disclaimer that it could not verify the complete ACS sex-ratio filter and 2020 housing-vacancy comparison, which is acceptable as it still provided the correct answer.\",\n \"Correctness Details\": {\n \"Leech Lake Reservation\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 877, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 111, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.019} {"qid": "dsfull-215", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3131433e233dbab860c4cfd83f3c4511a8bc5cdb34bbe66156daa565b0c0521c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Herbert Hoover as the President who nominated the Justice who authored the earliest precedent cited. The response also provides a clear and accurate citation chain supporting its answer.\",\n \"Correctness Details\": {\n \"Herbert Hoover\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1110, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 86, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.839} {"qid": "dsfull-213", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "14156f40b7e5348c2118c55d997d057412b59e2f349a9c462abffbdfe4ced293", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both GOOG and AMZN as having an increase in net income and EPS ratio when compared to 2022, out of the top 5 common stocks listed on the NASDAQ by market cap at the end of 2023. While the correct answer specifies GOOGL, GOOG is also acceptable as it represents the same company and is often used interchangeably.\",\n \"Correctness Details\": {\n \"GOOGL\": true,\n \"AMZN\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 879, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 141, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.487} {"qid": "dsfull-214", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "69725fc3adcdb77988ab4cbc9ca8336e5e3fb85ea29a8e91a7fbe66b9e13de5a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three compounds (Linalool, Geraniol, \\u03b2-Ionone) that are present in both green mate and SAFE-SE analysis and have only a floral odor, as specified in the prompt.\",\n \"Correctness Details\": {\n \"Linalool\": true,\n \"Geraniol\": true,\n \"\\u03b2-Ionone\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1004, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 127, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.289} {"qid": "dsfull-216", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "47d7159f7f5608c3c893262b55b14a85e6fa0df77de50b74e6dc1b23d62e81cd", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Yale University as the answer, which matches the provided correct answer. The AI also provided a detailed explanation of its reasoning and acknowledged the limitation in fully verifying the 2023 percentages, which is good practice.\",\n \"Correctness Details\": {\n \"Yale University\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1004, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 99, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.52} {"qid": "dsfull-217", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "32f69b363e0f620f2dd7b48681aaf023f5dafff206a2f694c228aa3687ba2dc8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Wickenburg Unified District' but also included 'Saddle Mountain Unified School District' which is an excessive answer.\",\n \"Correctness Details\": {\n \"Wickenburg Unified District\": true\n },\n \"Excessive Answers\": [\n \"Saddle Mountain Unified School District\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 926, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 96, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 1, "false_negatives": 0, "precision": 0.5, "recall": 1.0, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.18} {"qid": "dsfull-218", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "59c69862af37392952ec3fa4c4c9d1a30726e9442d8c765af0897846564b594f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Hawaii as the state with the smallest difference between women's and men's college enrollment numbers among the top 5 states for Hillary Clinton's voter share in the 2016 election, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Hawaii\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1135, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 102, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.049} {"qid": "dsfull-219", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "54b287dbdfea0e4fd7288130e952e0494e039015aac8ead3ef8617fb79a227f1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response failed to identify any of the correct buildings. The correct buildings are Burj Khalifa, Marina 101, and Princess Tower, all located in the UAE. The AI provided buildings located in London.\",\n \"Correctness Details\": {\n \"Burj Khalifa\": false,\n \"Marina 101\": false,\n \"Princess Tower\": false\n },\n \"Excessive Answers\": [\n \"The Shard\",\n \"22 Bishopsgate\",\n \"One Canada Square\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 927, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 139, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 3, "false_negatives": 3, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.305} {"qid": "dsfull-220", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "aa3b4d50929dcb7c56b3c4b6d6c5f876a3231bc06c251622b969191e65c794c9", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response states 'WASP-47 d' as the closest, but the correct answer is 'WASP-47 c'. Therefore, the AI did not arrive at the correct answer.\",\n \"Correctness Details\": {\n \"WASP-47 c\": false\n },\n \"Excessive Answers\": [\n \"WASP-47 d\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 964, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 109, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.026} {"qid": "dsfull-222", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7de1548dba150256c450b256026f73bd34b673162d56464b27386c150d2b1579", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Macomb' as the county with the greatest percentage of population increase from 1920 to 2020 among the four oldest counties in Michigan, which aligns with the correct answer.\",\n \"Correctness Details\": {\n \"Macomb\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1186, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 97, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.104} {"qid": "dsfull-221", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8047a5a97107663bfdafb345f161e600bf5109ef3e7b34def130bb7ef24c4978", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all ten states listed in the correct answer. The 'Final Answer' section of the response precisely matches the provided correct answer, albeit with semicolons as separators instead of commas, which is a minor formatting difference.\",\n \"Correctness Details\": {\n \"California\": true,\n \"Colorado\": true,\n \"Connecticut\": true,\n \"Delaware\": true,\n \"Illinois\": true,\n \"Massachusetts\": true,\n \"Nevada\": true,\n \"New Jersey\": true,\n \"New York\": true,\n \"Oregon\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1399, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 164, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 10, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.398} {"qid": "dsfull-224", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d8a4b26125ecd0e55b61d49f227fd22ca42bd5110254e4635a2b7c8cabd42202", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both 'Queens' and 'The Bronx' as the boroughs with less than 2% of their drinking fountains broken, matching the 'Correct Answer'.\",\n \"Correctness Details\": {\n \"The Bronx\": true,\n \"Queens\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 987, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 94, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.019} {"qid": "dsfull-190", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2a0535327c69b03f4718c27c6647d3e5c92ed7387947da58d98ada768ee17a2c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three planets listed in the correct answer: Kepler-1650 b, TRAPPIST-1 e, and TRAPPIST-1 h. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Kepler-1650 b\": true,\n \"TRAPPIST-1 e\": true,\n \"TRAPPIST-1 h\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1092, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 128, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 12.14} {"qid": "dsfull-223", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6b2835ec5cf5ecc574dfcd1d9368a228fe2ce8a8f8c5b4e03b2acf4543e81979", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Chile, Czechia, Hungary, and Lithuania. However, it missed Andorra and included several excessive answers: Argentina, Cook Islands, Malta, and Niue.\",\n \"Correctness Details\": {\n \"Andorra\": false,\n \"Chile\": true,\n \"Czechia\": true,\n \"Hungary\": true,\n \"Lithuania\": true\n },\n \"Excessive Answers\": [\n \"Argentina\",\n \"Cook Islands\",\n \"Malta\",\n \"Niue\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 975, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 144, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 4, "false_negatives": 1, "precision": 0.5, "recall": 0.8, "f1": 0.6153846153846154, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.552} {"qid": "dsfull-227", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7b68cfe7d48c82c4d254222cb2f76a574f574db0999fd4b32950d0e45a2cd6f7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identifies C\u00f4te d'Ivoire, Guinea, Liberia, Nigeria, and Sierra Leone. However, it misses Benin and includes Mali as an excessive answer.\",\n \"Correctness Details\": {\n \"Benin\": false,\n \"C\u00f4te d'Ivoire\": true,\n \"Guinea\": true,\n \"Liberia\": true,\n \"Nigeria\": true,\n \"Sierra Leone\": true\n },\n \"Excessive Answers\": [\n \"Mali\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 973, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 133, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 1, "false_negatives": 1, "precision": 0.8333333333333334, "recall": 0.8333333333333334, "f1": 0.8333333333333334, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.204} {"qid": "dsfull-228", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "84a804226b1495a3701a59e0bf2f160997275e236bf5937a12fb74365f24978f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Argentina' as the country with the highest female life expectancy at birth among the South American countries that had more than 100,000 COVID-19 deaths. The response also provides supporting data in a table format.\",\n \"Correctness Details\": {\n \"Argentina\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1172, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 103, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.113} {"qid": "dsfull-226", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "70a1ed4906cc8912a425b97901beaa9aac33c235de6b5cc5c206bf2e57032c6b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identifies all the MPs and their respective universities as provided in the correct answer. The minor differences in university names (City University, London vs. City of London Polytechnic) are acceptable given the context and common name changes.\",\n \"Correctness Details\": {\n \"Kerry McCarthy: University of Liverpool\": true,\n \"Kerry McCarthy: City of London Polytechnic\": true,\n \"Karin Smyth: University of East Anglia\": true,\n \"Karin Smyth: University of Bath\": true,\n \"Thangam Debbonaire: Royal College of Music\": false,\n \"Thangam Debbonaire: University of Oxford\": true,\n \"Thangam Debbonaire: University of Bristol\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1113, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 190, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.8571428571428571, "f1": 0.923076923076923, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.735} {"qid": "dsfull-225", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "94b71cf1f3c15cc092bc49d6c67d0385d1ab9263cba234781551a2ce7db6c4ea", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response successfully identified all the correct phones based on the criteria. However, it also included 'Samsung W20 5G' which is not in the correct answer and was not sold in the US.\",\n \"Correctness Details\": {\n \"OnePlus 7 Pro\": true,\n \"OnePlus 7 Pro 5G\": true,\n \"OnePlus 7T\": true,\n \"OnePlus 7T Pro\": true,\n \"OnePlus 7T Pro 5G McLaren\": true,\n \"iPhone 11 Pro\": true,\n \"iPhone 11 Pro Max\": true,\n \"Samsung Galaxy A80\": true,\n \"Samsung Galaxy A90 5G\": true,\n \"Samsung Galaxy Fold\": true,\n \"Samsung Galaxy Fold 5G\": true,\n \"Samsung Note 10\": true,\n \"Samsung Note 10+\": true,\n \"Samsung Note 10 5G\": true,\n \"Samsung Note 10+ 5G\": true,\n \"Samsung Galaxy S10\": true,\n \"Samsung Galaxy S10+\": true,\n \"Samsung Galaxy S10 5G\": true\n },\n \"Excessive Answers\": [\n \"Samsung W20 5G\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 2072, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 322, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 18, "false_positives": 1, "false_negatives": 0, "precision": 0.9473684210526315, "recall": 1.0, "f1": 0.972972972972973, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 2.289} {"qid": "dsfull-229", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "76b165f246eaa72ff5b80a4d490345d2249587e9ed8fc5e862350bd05d8035de", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all seven states mentioned in the correct answer. The response also provided a table with the relevant data for each state, which supports its answer. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Louisiana\": true,\n \"Alabama\": true,\n \"Oklahoma\": true,\n \"Kentucky\": true,\n \"West Virginia\": true,\n \"Arkansas\": true,\n \"Mississippi\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1192, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 132, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 7, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.484} {"qid": "dsfull-230", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8c60e918a7914a4a7817e2267d9ae941c612388a7497c585a12606d91bbfb693", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all categories and their respective ratings as 'outstanding' or 'good', matching the provided correct answer exactly.\",\n \"Correctness Details\": {\n \"Personal development\": true,\n \"Leadership and management\": true,\n \"Quality of education\": true,\n \"Behaviour and attitudes\": true,\n \"Sixth form provision\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 933, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 113, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.207} {"qid": "dsfull-231", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "684d0e5e5179377284f286e9bb145e7e6879d9cdd64446e36225eb12d4e63b57", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the states listed in the correct answer. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Delaware\": true,\n \"Florida\": true,\n \"Hawaii\": true,\n \"Oregon\": true,\n \"West Virginia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1118, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 100, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.191} {"qid": "dsfull-232", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1fe1bbe63191754e44d4b8d5332bacfa03e7a9bb29e4783e36ed1960fc2e332d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both 'N\u00fau-agha-t\u0289v\u0289-p\u0289\u0331 (Ute)' and 'Cheyenne' as the native lands shared by the specified mountains, matching the provided correct answer.\",\n \"Correctness Details\": {\n \"Cheyenne\": true,\n \"N\u00fau-agha-t\u0289v\u0289-p\u0289\u0331 (Ute)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1076, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 119, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.296} {"qid": "dsfull-234", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "97fbc69c91b4463caa810972422eeb1f7d46fb7e86d82570bd906d8d768d3da3", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the specified memory card model numbers from the 'Correct Answer'. It also presents the information in a table format and then as a final list of model numbers, which aligns with the prompt's request for a list and table.\",\n \"Correctness Details\": {\n \"SanDisk - 16G - SDSDXPB-016G\": true,\n \"Toshiba - 16G - SDXU-B016G\": true,\n \"SanDisk - 32G - SDSDXPB-032G\": true,\n \"Toshiba - 32G - SDXU-B032G\": true,\n \"SanDisk - 64G - SDSDXPB-064G\": true,\n \"Toshiba - 64G - SDXU-B064G\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1352, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 232, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.363} {"qid": "dsfull-233", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8411d7a0013bd216f607ef181444583f8076d761756e013139be9b364618d551", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three individuals listed in the correct answer: Jean-Loup Chr\u00e9tien, Michel Tognini, and Jean-Pierre Haigner\u00e9. It also provides a table with relevant details for each, confirming they meet the criteria specified in the prompt.\",\n \"Correctness Details\": {\n \"Jean-Loup Chr\u00e9tien\": true,\n \"Michel Tognini\": true,\n \"Jean-Pierre Haigner\u00e9\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1057, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 136, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.472} {"qid": "dsfull-235", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1cfe066e1df4bc13ac13b0e505b4be2b2309d864aee6c483e28fd1a7605a6699", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the states from the correct answer: Louisiana, Michigan, New York, and Pennsylvania. The order also matches the requested order (highest to lowest capital population).\",\n \"Correctness Details\": {\n \"Louisiana\": true,\n \"Michigan\": true,\n \"New York\": true,\n \"Pennsylvania\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1224, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 110, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.23} {"qid": "dsfull-236", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a29e500a370cd5018bf27a9e2a06b8aa5c123e0914ea64fc2f41693c957835e6", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the countries from the correct answer list: Ireland, Luxembourg, Denmark, and Malta. The response also explicitly mentions the limitation in verifying the air quality filter, which indicates an awareness of all constraints provided in the prompt.\",\n \"Correctness Details\": {\n \"Ireland\": true,\n \"Luxembourg\": true,\n \"Denmark\": true,\n \"Malta\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1222, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 122, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.432} {"qid": "dsfull-237", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f2889c282dc256adc8d942f564b1b3763ad366db9a46979069c6c90a61b0f6eb", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the years (2010, 2011, 2012) that meet the specified criteria, matching the correct answer exactly. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"2010\": true,\n \"2011\": true,\n \"2012\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1095, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 117, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.436} {"qid": "dsfull-238", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "affc840b984951c18e6db0ad68fca1795c97a6e258058ad6b7a33419982066a3", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies '2018' as the year with the largest percentage decrease, matching the correct answer. The AI also provides supporting data and calculations for each year.\",\n \"Correctness Details\": {\n \"2018\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1050, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 90, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.107} {"qid": "dsfull-239", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "118d6e028b550c8c06aae2e8aaf5988d15ce73dfbe6814002ab694b95c04d1b7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Haiti as the country with the lowest GDP per capita among those with above-average homicide rates and drug use disorders in 2021, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Haiti\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 957, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 91, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.136} {"qid": "dsfull-240", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ca8ddaf78189810181977cb5110ff65020a81af7824b8ba9d6effd22a4d193b2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Florida and South Carolina but missed Alabama, which is part of the correct answer set. There are no excessive answers.\",\n \"Correctness Details\": {\n \"South Carolina\": true,\n \"Alabama\": false,\n \"Florida\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 902, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 93, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.6666666666666666, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.126} {"qid": "dsfull-242", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "35863322ce90d19d3d5437be0260b12c760d5e588ac066a8fc12bc53e5c565a4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the countries listed in the correct answer: Germany, Belgium, UK, France, and Bulgaria. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Germany\": true,\n \"Belgium\": true,\n \"UK\": true,\n \"France\": true,\n \"Bulgaria\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 858, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 110, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.932} {"qid": "dsfull-241", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9ee47466ae3826c7e0d84fc89f0fbbff5c9cdfaffdc654da920879980db70a97", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies three of the four expected universities (Yale University, The University of Chicago, and California Institute of Technology). However, it includes Princeton University as an excessive answer, which was not part of the correct answer set. The response acknowledges its inability to fully verify the international outlook rating condition, but it still provides a list of universities.\",\n \"Correctness Details\": {\n \"Yale University\": true,\n \"The University of Chicago\": true,\n \"California Institute of Technology\": true\n },\n \"Excessive Answers\": [\n \"Princeton University\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 982, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 150, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 1, "false_negatives": 0, "precision": 0.75, "recall": 1.0, "f1": 0.8571428571428571, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.393} {"qid": "dsfull-244", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "63dd08d91342e6f7341d52ea882b3ad3416d03c9ff0589db03564bf8c0a19aba", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the justices from the provided 'Correct Answer' list and presents them in the correct order as requested by the prompt. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Clarence Thomas\": true,\n \"Stephen Breyer\": true,\n \"John Roberts\": true,\n \"Samuel Alito\": true,\n \"Sonia Sotomayor\": true,\n \"Elena Kagan\": true,\n \"Neil Gorsuch\": true,\n \"Brett Kavanagh\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1278, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 153, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 8, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.2} {"qid": "dsfull-245", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "94eb0f2a3617ee2249b943b8e2eb0e092eed3b45a2d57c4c8f80b36bbf14f5b4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'canned cherries' as the fruit with the highest average cup equivalent prices in both instances, which matches the correct answer. The additional context provided by the AI regarding the data years (2020 and 2016) is helpful and does not detract from the correctness of the answer.\",\n \"Correctness Details\": {\n \"Canned cherries, packed in syrup or water.\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 914, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 125, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.677} {"qid": "dsfull-243", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "971e7ab19c48f85f82f31d2573033ed0e0cdc9c3dc503f8234f9a9c59a0c02c2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies most of the universities from the correct answer, specifically: Politecnico di Milano, Alma Mater Studiorum - Universit\u00e0 di Bologna (listed as University of Bologna), Sapienza University of Rome, Universitat Aut\u00f2noma de Barcelona (listed as Autonomous University of Barcelona), Universitat de Barcelona (listed as University of Barcelona), Universidad Aut\u00f3noma de Madrid (listed as Autonomous University of Madrid), Complutense University of Madrid, and Universit\u00e0 di Padova (listed as University of Padua). However, it misses the University of Warsaw and Charles University. Additionally, it includes the University of Porto, which is not in the correct answer list.\",\n \"Correctness Details\": {\n \"Politecnico di Milano\": true,\n \"Alma Mater Studiorum - Universit\u00e0 di Bologna\": true,\n \"Sapienza University of Rome\": true,\n \"Universitat Aut\u00f2noma de Barcelona\": true,\n \"Universitat de Barcelona\": true,\n \"Universidad Aut\u00f3noma de Madrid\": true,\n \"Complutense University of Madrid\": true,\n \"Universit\u00e0 di Padova\": true,\n \"University of Warsaw\": false,\n \"Charles University\": false\n },\n \"Excessive Answers\": [\n \"University of Porto\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1240, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 291, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 8, "false_positives": 1, "false_negatives": 2, "precision": 0.8888888888888888, "recall": 0.8, "f1": 0.8421052631578948, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.074} {"qid": "dsfull-247", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3394e2fd0237bcc3d1244a2d8a0577c3b8a02acbb6d8b43e395d6ec5a7e78b00", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three individuals who received more votes than Winston Peters in his local electorate races since 1996: Bob Clarkson, Simon Bridges, and Matt King. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Bob Clarkson\": true,\n \"Simon Bridges\": true,\n \"Matt King\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1063, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 110, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.33} {"qid": "dsfull-248", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "79448bee61ab250672de898dffbfb41d7cf9d2d5e9f1b64ddbb69f105ea5ce9f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Massachusetts and New Hampshire. However, it incorrectly included Arkansas and missed South Dakota.\",\n \"Correctness Details\": {\n \"Massachusetts\": true,\n \"New Hampshire\": true,\n \"South Dakota\": false\n },\n \"Excessive Answers\": [\n \"Arkansas\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 937, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 95, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 1, "precision": 0.6666666666666666, "recall": 0.6666666666666666, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.042} {"qid": "dsfull-246", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2329076ec55c0b9331ee352398eeceade342a0b4ce1e3f413b2f9a1b2bb3effb", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four counties from the correct answer: Lycoming County, Bradford County, Clearfield County, and Tioga County. However, the AI response also explicitly states that the income figures could not be retrieved and the selection remains unverified, which implies that the income condition was not met or confirmed. The prompt requires identifying counties based on both land mass and median household income.\",\n \"Correctness Details\": {\n \"Lycoming County\": true,\n \"Bradford County\": true,\n \"Clearfield County\": true,\n \"Tioga County\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 981, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 158, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.841} {"qid": "dsfull-249", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d6a9e64940be29479f074bf1f13fc9acb0b32eec6044317e13ce685d5ed526a2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Michigan' as the state with the lowest ratio, which matches the provided correct answer. The AI also notes the limitation of not being able to fully verify the comparison due to missing data for homicide deaths, which is a good acknowledgement.\",\n \"Correctness Details\": {\n \"Michigan\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1011, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 102, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.118} {"qid": "dsfull-250", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "bdedd9ed1d2efae8da2df8376e66f65f29e3a0e403daed9290ff9e92bf3518c0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Lance Russell as the inductee who lived the longest, matching the provided correct answer. It also provides additional, accurate information about his lifespan.\",\n \"Correctness Details\": {\n \"Lance Russell\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 897, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 84, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.113} {"qid": "dsfull-252", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e48054ed303a10317a9fc4a1332772aa74a16893a8a515e60d24c8f7b7ee4409", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Bob Hope as the actor who cameoed in the county fair scene and meets the criteria of having at least one star on the Walk of Fame, an Emmy, and a Golden Globe. The response also provides supporting details for each award.\",\n \"Correctness Details\": {\n \"Bob Hope\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 985, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 103, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.114} {"qid": "dsfull-251", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d22b3fff7da02f05c4bdb45cbdac7ce3387744cdea6e941904f145acf3a5c870", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Chicken Parmesan' as the winner with the highest amount of protein, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Chicken Parmesan\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 851, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 76, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.23} {"qid": "dsfull-253", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "213ab2105d276287d97403dccec962acd9854a71554bffe66cbd6c97f1f9433c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'The Maldives' as the answer, which matches the correct answer. The AI also provided a detailed breakdown of how The Maldives satisfies each condition in the prompt, further supporting its answer.\",\n \"Correctness Details\": {\n \"The Maldives\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1104, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 93, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.396} {"qid": "dsfull-254", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "353a3422ac757acda6592d7973e7eb24ce0dfb87a0bec1570b84d0b43ccf17ad", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies 'Sorex bendirii' as the scientific name, while the correct answer is 'Sorex pacificus'. The AI's explanation regarding the marsh shrew's range fitting Cape Kiwanda is incorrect for Sorex pacificus.\",\n \"Correctness Details\": {\n \"Sorex pacificus\": false\n },\n \"Excessive Answers\": [\n \"Sorex bendirii\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 990, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 120, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.222} {"qid": "dsfull-256", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8f675b9828ba40e56faf1255b2784039aa7fbe50b1fe100e035fb12d7fb69f97", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all 10 states listed in the correct answer. The AI provides a table that explicitly shows each state's energy production rank, share of U.S. energy production, and electricity price, which are all below the national average of 12.36\u00a2/kWh, thus meeting the prompt's criteria. The final answer also lists all these states.\",\n \"Correctness Details\": {\n \"Texas\": true,\n \"Pennsylvania\": true,\n \"New Mexico\": true,\n \"Wyoming\": true,\n \"West Virginia\": true,\n \"Louisiana\": true,\n \"Oklahoma\": true,\n \"North Dakota\": true,\n \"Colorado\": true,\n \"Ohio\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1235, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 197, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 10, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.529} {"qid": "dsfull-257", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f58b95e76ea532c00b6869cc1bcdf951760da3dd6a6a5dca5fa37accc38ca5b0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all five parties listed in the correct answer. It also presented them in the correct descending order of national first preference votes and provided supporting data, fulfilling all prompt requirements.\",\n \"Correctness Details\": {\n \"Liberal Party of Australia\": true,\n \"Australian Labor Party\": true,\n \"Australian Greens\": true,\n \"Australian Democrats\": true,\n \"Pauline Hanson\u2019s One Nation\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1399, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 129, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.61} {"qid": "dsfull-258", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "04f03a97147d41a440f4a4979722a644fcdbffccb7e693542c94449b00565b32", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three players listed in the correct answer: Gordon Hayward, Da'Sean Butler, and Devin Ebanks. It presents them in a clear table and reiterates them as the 'Final Answer'. There are no excessive answers provided.\",\n \"Correctness Details\": {\n \"Gordon Hayward\": true,\n \"Da'Sean Butler\": true,\n \"Devin Ebanks\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1019, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 122, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.196} {"qid": "dsfull-260", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "cd58361ddf02cca976b5348a03ab7ff4569432f20712ca0c258da32ab5d6d688", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The prompt asks for the number of votes the runner-up got in a specific election. The AI response correctly identifies the election and states that 'Runner-up Rick Byers received 19,524 votes.' which directly answers the question.\",\n \"Correctness Details\": {\n \"Rick Byers - Conservative - 19,524 votes.\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 941, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 113, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.183} {"qid": "dsfull-259", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "72303c0c5535386d5dd40c5506510246e321c9883489f1a376edba11ad50784b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response explicitly states that it could not retrieve the complete BTS comparison tables and therefore cannot verify the qualifying set. It then provides an 'unverified prediction' which includes some correct codes (BNA, MDW, DEN, PHX) but also includes incorrect codes (BOS, BWI, LAS, TPA) and misses several correct ones (JFK, LGA, IAH, LAX). Since the AI could not fully answer the prompt, and provided incorrect information as an 'unverified prediction', it is mostly incorrect.\",\n \"Correctness Details\": {\n \"JFK\": false,\n \"LGA\": false,\n \"IAH\": false,\n \"LAX\": false,\n \"BNA\": true,\n \"MDW\": true,\n \"DEN\": true,\n \"PHX\": true\n },\n \"Excessive Answers\": [\n \"BOS\",\n \"BWI\",\n \"LAS\",\n \"TPA\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 945, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 239, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 4, "false_negatives": 4, "precision": 0.5, "recall": 0.5, "f1": 0.5, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.887} {"qid": "dsfull-261", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ce1b69cba70747385ab5d5edb02d62348e34c973ad1102b8a11100ff4c881e78", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI explicitly states it was 'Unable to verify from the accessible minutes' and therefore did not provide any of the correct answers. It also did not provide any excessive answers, as it did not list any names.\",\n \"Correctness Details\": {\n \"Dipika Damerla\": false,\n \"Paula Fletcher\": false,\n \"Maria Kelleher\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 902, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 115, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 3, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.172} {"qid": "dsfull-262", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3a1e4056f0a9b83a5802a0f1acf10c834d13152dab3ea0fce18ff089822f654c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the full name of the case as 'United States v. Lanza, 260 U.S. 377 (1922)', which matches the provided correct answer.\",\n \"Correctness Details\": {\n \"United States v. Lanza, 260 U.S. 377 (1922)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1018, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 119, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.382} {"qid": "dsfull-263", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6157b3a59451074be929e66744c3413392a25297403d4230ceeb1efc062a9041", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Ford Motor Company' as the answer, which matches the provided correct answer. The AI also provides supporting details for its answer.\",\n \"Correctness Details\": {\n \"Ford Motor Company\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 981, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 83, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.182} {"qid": "dsfull-265", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "11773d01bca47f6da3512848cfb4586671226859fd21ca551f2719fda18e71ef", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all nine months where the price exceeded $4.000. Each month listed in the correct answer is present in the AI's response.\",\n \"Correctness Details\": {\n \"March 2022\": true,\n \"April 2022\": true,\n \"May 2022\": true,\n \"June 2022\": true,\n \"July 2022\": true,\n \"August 2022\": true,\n \"October 2022\": true,\n \"August 2023\": true,\n \"September 2023\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1209, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 186, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 9, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.728} {"qid": "dsfull-266", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2efb7a37d93d3a29b182f23637657feda7f01f7277abb4902e558f6ce14fd438", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The prompt asks for countries where the annual number of cancer deaths increased by more than a third (33.33%). The AI's calculation for Denmark (33.48%) correctly identifies it as meeting this criterion. However, the AI incorrectly states that 'Only Denmark exceeds one third' and then provides 'Final Answer: Denmark'. The correct answer indicates both Denmark and Norway. While Norway's calculated increase is 25.68%, the correct answer for the prompt includes Norway, suggesting the AI's calculation or interpretation of 'more than a third' might be off for Norway compared to the ground truth. Since Norway is a correct answer according to the ground truth but not included in the AI's final answer, the AI's response is incorrect.\",\n \"Correctness Details\": {\n \"Denmark\": true,\n \"Norway\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1000, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 215, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.5, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.602} {"qid": "dsfull-267", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a42996476dbc4651c83baf0a0cabe810e473813b9e1f36a01c440219c571e2c4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response failed to provide any of the correct answers. Instead, it listed three species that are not included in the correct answer set.\",\n \"Correctness Details\": {\n \"Lepomis gibbosus (Pumpkinseed)\": false,\n \"Micropterus salmoides (Largemouth Black Bass)\": false,\n \"Ctenopharyngodon Idella (Grass carp)\": false,\n \"Cyprinus carpio (Common carp)\": false,\n \"Oncorhynchus mykiss (Rainbow trout)\": false,\n \"Oreochromis mossambicus (Mozambique Tilapia)\": false,\n \"Poecilia reticulata (Guppy)\": false,\n \"Scardinius erythrophthalmus (Rudd)\": false\n },\n \"Excessive Answers\": [\n \"Brown bullhead (Ameiurus nebulosus)\",\n \"Northern pike (Esox lucius)\",\n \"Channel catfish (Ictalurus punctatus)\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 964, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 242, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 3, "false_negatives": 8, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.833} {"qid": "dsfull-268", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e8a80733d3e2ad8c9f449ed201eaaf892c982b3520871a663dfd798709ccf5f9", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified the BMW M3 as the answer. It also correctly pointed out that the Audi S4 did not have a V8 engine, which was a key constraint in the prompt.\",\n \"Correctness Details\": {\n \"BMW M3\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 937, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 92, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.158} {"qid": "dsfull-269", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "cdb63d1b6e36673c9fbccb5fb73aa8f39abf7055bfc1b30b0de32d2aa8e00dbd", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three justices listed in the correct answer: John Roberts, Clarence Thomas, and Samuel Alito. There are no excessive answers.\",\n \"Correctness Details\": {\n \"John Roberts\": true,\n \"Clarence Thomas\": true,\n \"Samuel Alito\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 972, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 100, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.113} {"qid": "dsfull-264", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2758f45b26015fd94c6a728fc85ee51d85bc0531a024635b8a308b46b7809fb7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response successfully identified most of the repeat judges and their years of service, and correctly identified Penelope Fitzgerald as a winner. However, it incorrectly included A.S. Byatt as a repeat judge and winner, and missed Rebecca West from the correct answer. The AI also included additional judges not present in the correct answer.\",\n \"Correctness Details\": {\n \"Rebecca West (1969, 1970)\": false,\n \"Antonia Fraser (1970, 1971)\": true,\n \"Susan Hill (1975, 2011)\": true,\n \"Hermione Lee (1981, 2006)\": true,\n \"Rose Tremain (1988, 2000)\": true,\n \"Penelope Fitzgerald (1991, 1998) [won Booker Prize in 1979 with \\\"Offshore]\": true,\n \"Valentine Cunningham (1992, 1998)\": true,\n \"Gillian Beer (1993, 1997)\": true,\n \"Alastair Niven (1994, 2014)\": true,\n \"John Sutherland (1999, 2005)\": true,\n \"Erica Wagner (2002, 2014)\": true,\n \"A.C. Grayling (2003, 2014)\": true,\n \"Robert Macfarlane (2004, 2013)\": true,\n \"Amanda Foreman (2012, 2016)\": true\n },\n \"Excessive Answers\": [\n \"Walter Allen (1970, 1976)\",\n \"A. S. Byatt (1974, 1976) [won Booker Prize in 1990 with \\\"Possession\\\"]\",\n \"John Carey (1982, 2003)\",\n \"David Daiches (1970, 1980)\",\n \"Jonathan Keates (1983, 1991)\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1767, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 528, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 13, "false_positives": 5, "false_negatives": 1, "precision": 0.7222222222222222, "recall": 0.9285714285714286, "f1": 0.8125000000000001, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 3.418} {"qid": "dsfull-272", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b1a058377c263ef472ba03e87b495661c14ba5768ad33fa32f0bac582f75acff", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Monmouthshire' and 'Torfaen' as the final answer, matching the provided correct answer set.\",\n \"Correctness Details\": {\n \"Monmouthshire\": true,\n \"Torfaen\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1124, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 89, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.939} {"qid": "dsfull-270", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "903ec75e230c5864073865349533e5ae0deba1df4c21ae22c8ecfce4ff1e1b7d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both Massachusetts and New Jersey, which are the two states that meet the criteria. It also provides a table showing the number of international airports in each state and confirms the absence of congressionally designated National Parks.\",\n \"Correctness Details\": {\n \"New Jersey\": true,\n \"Massachusetts\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 999, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 105, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.269} {"qid": "dsfull-271", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1e5fc10e2e153afedc99d52428043e2881924294962e61d74f2bbde4c36758a0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three companies and lists them in the correct order from highest to lowest asset turnover ratio, matching the provided correct answer.\",\n \"Correctness Details\": {\n \"1) Turning Point Brands, Inc.\": true,\n \"2) Altria Group, Inc.\": true,\n \"3) Philip Morris International, Inc.\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 898, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 112, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.325} {"qid": "dsfull-273", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "72e0268d2fa5e80bea648aee0b3e49936207cd699222624da0e3436b6d2a79ce", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three countries/territories listed in the correct answer: Philippines, Vietnam, and Hong Kong SAR, China.\",\n \"Correctness Details\": {\n \"Phillipines\": true,\n \"Vietnam\": true,\n \"Hong Kong SAR China\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1059, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 97, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.128} {"qid": "dsfull-276", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "97ba9a13123ead2403141e9795419ae7a36a60b133697f967591e20a4e651ca1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies 'George Cowden' as the author, whereas the correct answer is 'L. Nelson Cowles'. The AI's answer is completely wrong.\",\n \"Correctness Details\": {\n \"L. Nelson Cowles\": false\n },\n \"Excessive Answers\": [\n \"George Cowden\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 834, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 99, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 0.984} {"qid": "dsfull-274", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "02066f4235abd961c2b39e3427ae79a40114b48ea4c45a9a43da0320aa5b2dd2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all six universities that failed to meet their approved goals at least three out of the four specified years. The response lists each university exactly as in the correct answer.\",\n \"Correctness Details\": {\n \"Florida Agricultural and Mechanical University\": true,\n \"Florida Gulf Coast University\": true,\n \"Florida International University\": true,\n \"New College of Florida\": true,\n \"University of Central Florida\": true,\n \"University of North Florida\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1371, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 140, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.543} {"qid": "dsfull-275", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b73d8d2536612cc747acb734706a6156c4852974bcc18e8a341970b741828cf8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The prompt asked for players who met specific criteria. The correct answer states 'None', indicating no players met all conditions. The AI response correctly states 'No players met all three conditions' and also provides 'None' as the final answer, which aligns with the correct answer.\",\n \"Correctness Details\": {\n \"None\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1031, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 105, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.423} {"qid": "dsfull-279", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "49dccd215d77dfacd831cb35793cb7e7657816b5a5fbae316ff4ca9f62ae62c2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Black Panther: Wakanda Forever' as the film directed by the youngest director among the specified criteria. It also provides a clear explanation and supporting data for its conclusion, demonstrating the steps taken to arrive at the correct answer.\",\n \"Correctness Details\": {\n \"Black Panther: Wakanda Forever\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1135, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 105, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.067} {"qid": "dsfull-278", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b7ec22abfefd46bd4150b8fbbf0eb5330020984e98afb75f0b439df4d4210f1a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four articles written by Donald A. Yerxa in Volume 10, Issue 5, which is the issue containing the most articles by him in that volume. All items from the correct answer are present in the response.\",\n \"Correctness Details\": {\n \"An Interview with Ken Albala\": true,\n \"Why History Matters: An Interview with John Tosh\": true,\n \"An Interview with Margaret MacMillan\": true,\n \"Mr. Gatling\u2019s Terrible Marvel: An Interview with Julia Keller\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1058, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 153, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.487} {"qid": "dsfull-280", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f629f3f5991a3866e5bfc90fbd8aa50803226b7bac40477fb889273b92325a47", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four parties mentioned in the correct answer that had a candidate receive more than 20,000 below-the-line votes for Senate in Queensland in the 2022 Australian federal election. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Queensland Greens\": true,\n \"Liberal National Party of Queensland\": true,\n \"Pauline Hanson's One Nation\": true,\n \"Australian Labor Party\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 997, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 138, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.297} {"qid": "dsfull-277", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e018bd160b41bd909353d5e033af75b9f5c413c5712a21b6a3f5bcb905027cad", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Iowa as one of the states. However, it incorrectly identified Florida as meeting all the criteria. The correct answer also includes Texas, which the AI did not mention. The response correctly noted that Florida had a 22-week from conception ban, was a battleground state won by Trump, and had two Republican senators. However, the prompt also asked for states with *attempted or passed legislation to start 6-week bans if passed*. While Florida did pursue six-week legislation, the prompt implies that the 6-week ban wasn't in effect in Jan 2022, which is true for Florida. Texas, which was not mentioned, fits all criteria, including having a 6-week ban already in effect (though the prompt asks for *attempted or passed legislation to start* 6-week bans *if passed*). The AI explicitly states 'Texas already enforced a six-week ban', which aligns with the criteria, yet it did not include Texas in its final answer.\",\n \"Correctness Details\": {\n \"Iowa\": true,\n \"Texas\": false\n },\n \"Excessive Answers\": [\n \"Florida\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1140, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 276, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 1, "false_negatives": 1, "precision": 0.5, "recall": 0.5, "f1": 0.5, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.882} {"qid": "dsfull-282", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6867a11332ba40ccd9c17d5ee4e333c730068d6c571170beb928b216567f0aed", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three localities listed in the correct answer: Rockbridge County, Staunton, and Waynesboro. The response also provides supporting data for each, which is not required but confirms the answer.\",\n \"Correctness Details\": {\n \"Rockbridge County\": true,\n \"City of Staunton\": true,\n \"City of Waynesboro\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1064, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 117, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.007} {"qid": "dsfull-284", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b689a137f0be342d59a6c6ad724a24a3819bc436fb3e24d63614abb01537bc8c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both 2012 and 2014 as the qualifying years, matching the correct answer. It also provides supporting data and sources for its conclusion.\",\n \"Correctness Details\": {\n \"2012\": true,\n \"2014\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1141, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 101, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.966} {"qid": "dsfull-283", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c98a6c5c165e8d0026983371a73a25ea54e07add9efef6f100b1f10ccabdf684", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the counties named in the 2005-2006 table but not in the 1992 table, and organizes them by district as requested.\",\n \"Correctness Details\": {\n \"South Central: Branch & Hillsdale\": true,\n \"South Central: Clinton\": true,\n \"South Central: Jackson\": true,\n \"Southeast: Lenawee\": true,\n \"Southeast: Livingston\": true,\n \"Southeast: Monroe\": true,\n \"Southeast: St. Clair\": true,\n \"West Central: Oceana\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1078, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 167, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 8, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.485} {"qid": "dsfull-255", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2b58cd3f7ca3552439a2bab9ea5dd10c857efb261e9f0a548399e218325d05a7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Florida and Georgia, which are the two states listed in the correct answer. The response also acknowledges a potential limitation regarding data verification, but this does not detract from the correctness of the answer itself according to the provided ground truth.\",\n \"Correctness Details\": {\n \"Florida\": true,\n \"Georgia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 856, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 107, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 11.615} {"qid": "dsfull-285", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "dbb04b7f620729fddb4b55ee453604ebcd50f119e01958f096953fe46bc3a39c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both Pretoria, South Africa and Moscow, Russia as the birth-towns that meet the criteria. The explanation provides details for each, matching the correct answer.\",\n \"Correctness Details\": {\n \"Pretoria (South Africa)\": true,\n \"Moscow (Russia)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1029, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 103, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.043} {"qid": "dsfull-287", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7e4afde765f0fe2703536f02556eae1222854bfd2204a8ec48927fcef1af2eba", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'East Midlands Railway' but incorrectly included 'CrossCountry' as an operator meeting the criteria. It missed 'TransPennine Express'.\",\n \"Correctness Details\": {\n \"East Midlands Railway\": true,\n \"TransPennine Express\": false\n },\n \"Excessive Answers\": [\n \"CrossCountry\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1033, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 104, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 1, "false_negatives": 1, "precision": 0.5, "recall": 0.5, "f1": 0.5, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.183} {"qid": "dsfull-286", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5c76629315d2c92db3fe07aa2a4e89565e5f26c821fa1dc3be932ebca088266d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies British Columbia as the province with the largest total capital expenditure in hydroelectric power generation for 2022/2023, while the correct answer is Quebec.\",\n \"Correctness Details\": {\n \"Quebec\": false\n },\n \"Excessive Answers\": [\n \"British Columbia\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 914, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 99, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.219} {"qid": "dsfull-288", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6c58041791cf84c0abc1f5d3bf180591c8ad3e205399436943184e6edc531876", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Syria as the country with the lowest percentage of people employed in agriculture among the top 5 countries with the most internally displaced people in 2020.\",\n \"Correctness Details\": {\n \"Syria\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 945, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 88, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.108} {"qid": "dsfull-289", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c15ddf13afec88853dfec0d61ae3a78c9aadd533ea7de12374a9e0d29be5af68", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response only identified John Donahoe II as receiving a bonus worth more than 200% of his annual salary, which is one of the correct answers. However, it missed Mark G. Parker and Matthew Friend. The response explicitly states it could not retrieve the page to verify the figures, which led to the incomplete answer.\",\n \"Correctness Details\": {\n \"John J. Donahoe II\": true,\n \"Mark G. Parker\": false,\n \"Matthew Friend\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 901, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 143, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 2, "precision": 1.0, "recall": 0.3333333333333333, "f1": 0.5, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.153} {"qid": "dsfull-290", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "bb1bc6f8378d922a5244021a1381b71ef84b254b16a7c6e1b3df66456cbc2a83", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Bodil's Gap' as the longest RPG book from Brazen Head Games, which matches the provided correct answer.\",\n \"Correctness Details\": {\n \"Bodil's Gap\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 890, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 84, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.042} {"qid": "dsfull-291", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "53ed538fdd7bef25dc4f45ff74529f579b1157cd9f9b7849ff34591f4362311e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Chile' as the latest nation to join the Allies side in WWII, which aligns perfectly with the provided correct answer. The additional contextual information about Chile's League of Nations membership, original UN membership, and WWII entry dates, while helpful, does not detract from the correctness of the core answer.\",\n \"Correctness Details\": {\n \"Chile\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1002, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 115, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.166} {"qid": "dsfull-293", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b93c1618c4c2203878400dbe2e988da20804f5da92118ecdfb62d714c86b0970", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identified Iceland as the country with the smallest increase in non-dairy cattle CH4 emissions. The correct answer is Albania.\",\n \"Correctness Details\": {\n \"Albania\": false\n },\n \"Excessive Answers\": [\n \"Iceland\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 858, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 87, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 0.863} {"qid": "dsfull-292", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8d75e4c06acf637de0d1bda0dac894c6704d078ed1256c286fe5b99f8997b017", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three cities (Corona, Murrieta, Temecula) listed in the correct answer. It also provides supporting data in a table format, which is helpful.\",\n \"Correctness Details\": {\n \"Corona\": true,\n \"Murrieta\": true,\n \"Temecula\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1103, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 107, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.223} {"qid": "dsfull-295", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "de04df9f2d4ea3b26606974c4e323de465247c36c2fb8df55e9108fe608245ef", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the states listed in the correct answer: Alaska, Idaho, Mississippi, Missouri, West Virginia, and Wyoming. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Alaska\": true,\n \"Idaho\": true,\n \"Mississippi\": true,\n \"Missouri\": true,\n \"West Virginia\": true,\n \"Wyoming\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1156, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 121, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.015} {"qid": "dsfull-294", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "810dec9dbf5e40d50b3becedd111fcea16a7b12f230b399ce5bf7913d07a9d18", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified two of the papers from the correct answer. It also included an additional paper not listed in the correct answer.\",\n \"Correctness Details\": {\n \"\\\"Astrophysical and electromagnetic emissivity properties of black holes surrounded by a quintessence type exotic fluid in the scalar\u2013vector\u2013tensor modified gravity\\\" with Haidarand Sheikhahmadi\": true,\n \"\\\"Stochastic multiple fields inflation: Diffusion dominated regime\\\" with Kosar Asadi\": true\n },\n \"Excessive Answers\": [\n \"Haidar Sheikhahmadi \u2014 On the origin of the holographic universe (ORCID-dated 2023)\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1293, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 165, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 0, "precision": 0.6666666666666666, "recall": 1.0, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.265} {"qid": "dsfull-297", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4609add938c737e1bdfcb2fdc91f771d2f963ecc1e4fc6326c1e9a33e21df364", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the symbols listed in the correct answer: AAPL, MSFT, GOOGL, and AMZN. There are no excessive answers.\",\n \"Correctness Details\": {\n \"AAPL\": true,\n \"MSFT\": true,\n \"GOOGL\": true,\n \"AMZN\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 862, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 109, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.214} {"qid": "dsfull-296", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "db396ded0e89f19eea4456a5548d1cc3f276857b1ff6dbe3d8d933bd9afc9acf", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the states listed in the correct answer. The table provided by the AI also correctly shows that these states meet both criteria (over 1000 motor vehicle deaths and more rural NHS road miles than urban NHS road miles).\",\n \"Correctness Details\": {\n \"South Carolina\": true,\n \"Arizona\": true,\n \"North Carolina\": true,\n \"Georgia\": true,\n \"Texas\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1158, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 132, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.284} {"qid": "dsfull-281", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6d83ce5e378da2cc36ad59988bdc3289b456ad134f5e596fc954e5c0dc567016", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response accurately identifies the purpose of the bill, including the change in the number of voting members, the election process, candidate qualifications, removal procedures, and transition schedule. It also provides complete and accurate lists of all sponsors, 'yes' votes, and 'no' votes, matching the correct answer perfectly. The response also adds the information that the bill did not become law, which is not an expected answer but it is a useful context.\",\n \"Correctness Details\": {\n \"Purpose: Amend KRS 156.029: all 14 voting members of the Kentucky Board of Education (KBE) are to be elected\": true,\n \"Purpose: New section of KRS Chapter 156: establish election process (partisan primary and partisan regular election)\": true,\n \"Purpose: Amend KRS 156.040: add requirement for KBE members not served on local school board for at least 4 years before election\": false,\n \"Purpose: New section of KRS Chapter 156: establish process for removal of a member of the KBE\": true,\n \"Purpose: Amend various KRS sections to conform\": false,\n \"Purpose: Repeal KRS 156.031\": false,\n \"Purpose: Establish schedule for transitioning appointed to elected members\": true,\n \"Purpose: Allow appointees to serve appointments until December 31, 2026\": false,\n \"The Bill's Sponsors: M. Wilson\": true,\n \"The Bill's Sponsors: S. West\": true,\n \"The Bill's Sponsors: G. Boswell\": true,\n \"The Bill's Sponsors: D. Carroll\": true,\n \"The Bill's Sponsors: M. Deneen\": true,\n \"The Bill's Sponsors: D. Douglas\": true,\n \"The Bill's Sponsors: R. Girdler\": true,\n \"The Bill's Sponsors: S. Meredith\": true,\n \"The Bill's Sponsors: R. Mills\": true,\n \"The Bill's Sponsors: J. Schickel\": true,\n \"The Bill's Sponsors: D. Thayer\": true,\n \"The Bill's Sponsors: L. Tichenor\": true,\n \"The Bill's Sponsors: G. Williams\": true,\n \"The Bill's Sponsors: M. Wise\": true,\n \"Voted Yes: Boswell\": true,\n \"Voted Yes: Girdler\": true,\n \"Voted Yes: Nemes\": true,\n \"Voted Yes: Thayer\": true,\n \"Voted Yes: Carroll\": true,\n \"Voted Yes: Higdon\": true,\n \"Voted Yes: Raque Adams\": true,\n \"Voted Yes: Tichenor\": true,\n \"Voted Yes: Deneen\": true,\n \"Voted Yes: Mays Bledsoe\": true,\n \"Voted Yes: Schickel\": true,\n \"Voted Yes: West\": true,\n \"Voted Yes: Douglas\": true,\n \"Voted Yes: McDaniel\": true,\n \"Voted Yes: Southworth\": true,\n \"Voted Yes: Williams\": true,\n \"Voted Yes: Elkins\": true,\n \"Voted Yes: Meredith\": true,\n \"Voted Yes: Stivers\": true,\n \"Voted Yes: Wilson\": true,\n \"Voted Yes: Funke Frommeyer\": true,\n \"Voted Yes: Mills\": true,\n \"Voted Yes: Storm\": true,\n \"Voted Yes: Wise\": true,\n \"Voted No: Berg\": true,\n \"Voted No: Harper Angel\": true,\n \"Voted No: Thomas\": true,\n \"Voted No: Westerfield\": true,\n \"Voted No: Carpenter\": true,\n \"Voted No: Howell\": true,\n \"Voted No: Turner\": true,\n \"Voted No: Wheeler\": true,\n \"Voted No: Chambers Armstrong\": true,\n \"Voted No: Neal\": true,\n \"Voted No: Webb\": true,\n \"Voted No: Yates\": true,\n \"Voted No: Givens\": true,\n \"Voted No: Smith\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1810, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 1004, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 56, "false_positives": 0, "false_negatives": 4, "precision": 1.0, "recall": 0.9333333333333333, "f1": 0.9655172413793104, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 5.658} {"qid": "dsfull-298", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8e525db5ffb528edb538830ddf6c6e497bc67be38550aba5b0205ed9905b0717", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both Phoenix (Arizona) and San Antonio (Texas) as the cities that fit the criteria. It also provides a table with growth rates, which is helpful context.\",\n \"Correctness Details\": {\n \"Phoenix (Arizona)\": true,\n \"San Antonio (Texas)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1044, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 102, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.108} {"qid": "dsfull-300", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c8c2f574a18bf8ad63f18404442eac197ada6d38c927f915015331ff390efbf2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly listed all the authors provided in the correct answer. The authors are 'Mariana Vega-Mendoza', 'Holly West', 'Antonella Sorace', and 'Thomas H. Bak', all of which are present in the 'Final Answer' section of the AI response.\",\n \"Correctness Details\": {\n \"Mariana Vega-Mendoza\": true,\n \"Holly West\": true,\n \"Antonella Sorace\": true,\n \"Thomas H. Bak\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 946, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 142, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.048} {"qid": "dsfull-301", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5438ec86ae2aa6e5e18e2092419abcb967ec21a683ccfba4eba3fde7de4f3f95", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies Knowsley as the answer. The correct answer, based on the provided ground truth, is East Ham.\",\n \"Correctness Details\": {\n \"East Ham\": false\n },\n \"Excessive Answers\": [\n \"Knowsley\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 911, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 86, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.065} {"qid": "dsfull-302", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9cb7ce139493dbb6efb2a0c44c5ef1af458e65675443ff5a057db0e6454fa253", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response states that it could not verify a record for Everdina de Weert born in June 1918 and therefore did not provide the requested information about her grandparents' marriages. The correct answer provides this information.\",\n \"Correctness Details\": {\n \"Dirk Smaling and Willemina Dohmen married 1874 in Zwolle\": false,\n \"Albertus de Weert and Hendrikje Beeuwkes married 1880 in Apeldoorn\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 931, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 141, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 2, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.4} {"qid": "dsfull-303", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ffd09263030988a2191951f0a38b500df7a0c51f3942f97d94fe19e79805b007", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies '2020' as the year with the smallest difference, which matches the correct answer. It also provides supporting details for its answer.\",\n \"Correctness Details\": {\n \"2020\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 954, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 87, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.898} {"qid": "dsfull-304", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2e9e3e8f64cf8ad9a815aa7d2ec3d86041c236ba108acd02437b739a01833fd6", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Ferrierite' as the rare silicate, which matches the provided correct answer. It also provides additional, relevant information about the individual for whom the mineral is named.\",\n \"Correctness Details\": {\n \"Ferrierite\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 857, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 91, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.985} {"qid": "dsfull-305", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0c648f005d6b473966ada6ae05da373745bbc20874557be5c15d5e9061d80cbf", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Garamba National Park as the location to see Kordofan giraffes, which directly answers the user's question. The additional information provided is relevant and helpful context.\",\n \"Correctness Details\": {\n \"Garamba National Park\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1080, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 92, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.972} {"qid": "dsfull-306", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9f4e0d19f6e3a28fb27785562eeae5371c3b2e45aaa4550936ed86f60f5799c7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the states listed in the correct answer: Arizona, Kansas, and New Mexico. It also provides supporting data in a table format.\",\n \"Correctness Details\": {\n \"Arizona\": true,\n \"Kansas\": true,\n \"New Mexico\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1103, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 97, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.197} {"qid": "dsfull-307", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2bda4719ca5052cf09af01d9025039bb69b7e096a635a58894473a1878b21204", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Chicago, Illinois as the city with the highest murder rate per 100,000 people in 2022 among major US cities with a population of 2-5 million, as per Robslink data, which aligns with the correct answer.\",\n \"Correctness Details\": {\n \"Chicago, Illinois.\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1049, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 113, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.245} {"qid": "dsfull-299", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "68cf7f95b6b7ee5328d9f595d804cd75f7f05177ee4cf4a05a79839a87353c3d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies most of the high schools, addresses, and phone numbers. However, it misses 'Cyber School' from the correct answer.\",\n \"Correctness Details\": {\n \"Holy Cross High School\": true,\n \"Address: 2115 McEown Avenue, Saskatoon, SK S7J 3K8\": true,\n \"Phone Number: (306) 659-7600\": true,\n \"E.D. Feehan Catholic High School\": true,\n \"Address: 411 Avenue M North, Saskatoon, SK S7L 2S7\": true,\n \"Phone Number: (306) 659-7550\": true,\n \"Osk\u0101yak High School\": true,\n \"Address: 919 Broadway Avenue, Saskatoon, SK S7N 1B8\": true,\n \"Phone Number: (306) 659-7730\": true,\n \"Bishop James Mahoney High School\": true,\n \"Address: 231 Primrose Drive, Saskatoon, SK S7K 6Y3\": true,\n \"Phone Number: (306) 659-7500\": true,\n \"Bishop Murray High School\": true,\n \"Address: 615 Wiggins Avenue South, Saskatoon, SK S7H 2J2\": true,\n \"Phone Number: (306) 659-7710\": true,\n \"St. Joseph High School\": true,\n \"Address: 115 Nelson Road, Saskatoon, SK S7S 1H1\": true,\n \"Phone Number: (306) 659-7650\": true,\n \"Cyber School\": false,\n \"Address: 1402 Fletcher Road, Saskatoon, Saskatchewan, S7M 5J4\": false,\n \"Phone Number: (306) 659-7700\": false,\n \"Bethlehem Catholic High School\": true,\n \"Address: 110 Bowlt Crescent, Saskatoon, SK S7M 0L1\": true,\n \"Phone Number: (306) 659-7900\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1860, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 553, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 21, "false_positives": 0, "false_negatives": 3, "precision": 1.0, "recall": 0.875, "f1": 0.9333333333333333, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 3.341} {"qid": "dsfull-309", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0b85f88ac1bd2f9b87cad6b83ca56542d494f2c377fde87a4f35143dd493a873", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Fort Hays State University, Washburn University, and the University of Wyoming. However, it also provided several excessive answers not present in the correct answer: Lincoln University, Missouri Southern State University, Missouri Western State University, Pittsburg State University, and Salish Kootenai College.\",\n \"Correctness Details\": {\n \"Fort Hays State University\": true,\n \"Washburn University\": true,\n \"University of Wyoming\": true\n },\n \"Excessive Answers\": [\n \"Lincoln University\",\n \"Missouri Southern State University\",\n \"Missouri Western State University\",\n \"Pittsburg State University\",\n \"Salish Kootenai College\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1442, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 176, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 5, "false_negatives": 0, "precision": 0.375, "recall": 1.0, "f1": 0.5454545454545454, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.158} {"qid": "dsfull-308", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4ae05ffee6d5572dc563738f4e76315408d37cdf0e2cd6fb94b54815d7df9b87", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four presidents from the correct answer list: Rutherford B. Hayes, Grover Cleveland, Ronald Reagan, and Bill Clinton. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Rutherford B. Hayes\": true,\n \"Grover Cleveland\": true,\n \"Ronald Reagan\": true,\n \"Bill Clinton\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1063, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 114, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.257} {"qid": "dsfull-310", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "69ff838db8f4bb98e7c1fd93ef6bd40dd1f75a45babfb58cc43b5c4c5f099e23", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Apple as the company with the highest approximate dollar value of shares that may yet be purchased, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Apple\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1067, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 79, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.305} {"qid": "dsfull-311", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "415445df7649f3b0394851d764e321f01c8a9ab2a55e3110a874bba9ba83428f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three types of parakeets/parrots listed in the correct answer: Green Parakeet, Monk Parakeet (feral), and Red-crowned Parrot. It also correctly identifies the location and reasoning behind the answer.\",\n \"Correctness Details\": {\n \"Green Parakeet\": true,\n \"Monk Parakeet (feral)\": true,\n \"Red-crowned Parrot\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1089, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 132, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.373} {"qid": "dsfull-312", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e3dcc138f13caaa1e72b96138c8c2b0ad3ab73f0ee7ae45471215b645f850be0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all five Scottish regions that had the highest mean common mussel production between 2020-2024, and lists them in the correct order, matching the provided correct answer. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Shetland\": true,\n \"Highland\": true,\n \"Strathclyde\": true,\n \"Western Isles\": true,\n \"Orkney\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1214, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 137, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.442} {"qid": "dsfull-314", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4116dccc48a266375fdb885bb9386c9b7656e0c53ea547243dee8324342857a4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies most of the years where Antarctic krill were caught in both Areas 88 and 58 with catches of at least 1000 tons, based on the CCAMLR data. However, it misses one year, 1977, which is present in the correct answer. The AI also includes an excessive answer 1979.\",\n \"Correctness Details\": {\n \"1977\": false,\n \"1979\": true,\n \"1980\": true,\n \"1981\": true,\n \"1982\": true,\n \"1983\": true,\n \"1985\": true,\n \"1986\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1190, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 202, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 7, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.875, "f1": 0.9333333333333333, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.415} {"qid": "dsfull-313", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2250b01addacf063d5fdae1107825952dd8ed20bc7ea91f2dcdc4a070eb7432e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all three countries that satisfy all the conditions specified in the prompt: France, Germany, and the Netherlands. The response also provides a table summarizing the data used for the selection and explains why other nearly matching countries (Ireland and Italy) were excluded.\",\n \"Correctness Details\": {\n \"France\": true,\n \"Germany\": true,\n \"Netherlands\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1276, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 118, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.802} {"qid": "dsfull-315", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e0ba606e71e7d8d03a902f5e67bf856fbb882de35632a7b192c469fa5cb63efe", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Oman as the answer. The prompt type is 'Single Answer', and the response provides the correct answer.\",\n \"Correctness Details\": {\n \"Oman\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 917, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 77, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.057} {"qid": "dsfull-316", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6e9a78b12dc9de5615c7a1101fdda03974def7be25078a87f1af0e30c69d1b08", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all three authors from the correct answer, and did not include any excessive answers.\",\n \"Correctness Details\": {\n \"Kyung-Baeg Roh\": true,\n \"Jang-Hyun Kim\": true,\n \"Deokhoon Park\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1061, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 98, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.178} {"qid": "dsfull-319", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "eeaae10cdc583b5c6f9329ba825a1f403a920a6fb93b80eb132050e98d3ab22e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Birks Works' as one of the tracks where Gillespie is credited as a writer. However, it fails to identify the other three correct answers: 'Coast To Coast', 'Oo-La-La', and 'Tally-Ho'. The AI states that it could not verify the writer credit or establish the complete requested list due to Discogs blocking access, indicating an incomplete search.\",\n \"Correctness Details\": {\n \"Birks Works\": true,\n \"Coast To Coast\": false,\n \"Oo-La-La\": false,\n \"Tally-Ho\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 947, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 165, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 3, "precision": 1.0, "recall": 0.25, "f1": 0.4, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.175} {"qid": "dsfull-317", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "042c6e78e73ee2018b8e3f4540628b132d732062042cc7d3e456db45002132a1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Denmark and Iceland as countries that saw a decrease in their domestic net greenhouse gas emissions between 2019 and 2021. However, it incorrectly listed Sweden as having a decrease (which is true based on the provided table, but Sweden was not in the correct answer set). It also incorrectly stated that Norway recorded an increase, whereas the correct answer indicates Norway saw a decrease. Therefore, Norway is missing from the AI's final answer, and Sweden is an excessive answer.\",\n \"Correctness Details\": {\n \"Denmark\": true,\n \"Norway\": false,\n \"Iceland\": true\n },\n \"Excessive Answers\": [\n \"Sweden\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 960, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 176, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 1, "precision": 0.6666666666666666, "recall": 0.6666666666666666, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.823} {"qid": "dsfull-318", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "24580df7aacab7fbada8dfee0975236b685905fb13618e571fd30e0faf33c771", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all candidates specified in the correct answer. The minor difference in 'Solidarity\u2013People Before Profit' instead of 'Socialist Party' for Sandra Fay is acceptable as Solidarity\u2013People Before Profit is an electoral alliance that includes the Socialist Party.\",\n \"Correctness Details\": {\n \"Charlie O'Connor (5.0%, Fianna F\u00e1il)\": true,\n \"Deirdre O'Donovan (4.9%, Fianna F\u00e1il)\": true,\n \"Ellen O'Malley Dunlop (4.6%, Fine Gael)\": true,\n \"Carly Bailey (4.09%, Social Democrats)\": true,\n \"Sandra Fay (2.45%, Socialist Party)\": true,\n \"Anne Marie Condren (1.31%, Renua)\": true,\n \"Philip Dwyer (0.75%, National Party)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1258, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 229, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 7, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.849} {"qid": "dsfull-320", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5bd02065ca8ae93af487cdb7598f23848f3e758430e7de08c83216b366f525d1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly states that only Pakistan experienced an increase, and its provided data table is also incorrect when compared to the UNdata source. According to the actual UNdata, Pakistan, Nepal, Bhutan, and Bangladesh all experienced an increase in unemployment percentage between 2015 and 2020. The AI's 'Final Answer: Pakistan' and the data it provides are both incorrect and incomplete.\",\n \"Correctness Details\": {\n \"Pakistan\": true,\n \"Nepal\": true,\n \"Bhutan\": true,\n \"Bangladesh\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1025, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 156, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.666} {"qid": "dsfull-321", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "afa224f875c5c078f8dccebd5901cb5bb33a8a734ec8feae93bff09a7d1e0a19", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the product groups that experienced a decrease in the Consumer Price Index for each specified year, aligning perfectly with the provided correct answer. It explicitly states 'None' for 2021, 'Gasoline' for 2022, and 'Household operations, furnishings and equipment', 'Gasoline', and 'Energy' for 2023.\",\n \"Correctness Details\": {\n \"2021: None.\": true,\n \"2022: Gasoline.\": true,\n \"2023: Household operations, furnishings and equipment\": true,\n \"2023: Gasoline\": true,\n \"2023: Energy\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1175, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 189, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.329} {"qid": "dsfull-322", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "dbc7331d62d4a8ac09927bc587c316e3928e22cf7309c56ae04b88bbb4b3f354", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response states 'Cheddar cheese' as the answer, which is incorrect. The correct answer for the given prompt is 'Parmesan cheese'.\",\n \"Correctness Details\": {\n \"Parmesan cheese\": false\n },\n \"Excessive Answers\": [\n \"Cheddar cheese\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 932, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 95, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 0.937} {"qid": "dsfull-324", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b3514767c09ba56b9ff18707c5880caf1c263386f16016ae946228ca8d39737b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Italy as the country with the greatest increase in life expectancy between 1950 and 2023 among those listed by WHO in 2017 as having 100% of their hospitals following national dementia standards.\",\n \"Correctness Details\": {\n \"Italy\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1039, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 104, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.295} {"qid": "dsfull-323", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b64816c8d0af197d18234894c9566b0dc5cb1e6d350895125108be81a6cbb6e2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the states that had a poverty rate below 10% in 2023 and a population density below 200, matching the provided correct answer exactly. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Colorado\": true,\n \"Minnesota\": true,\n \"New Hampshire\": true,\n \"North Dakota\": true,\n \"Utah\": true,\n \"Vermont\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1019, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 134, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.521} {"qid": "dsfull-325", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "54b5630b82235c98406b650116115ac52c1d31b9cafd30f720c7972c3a7bf069", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response states that 'Confirmed cases among healthcare workers' showed the greatest disparity, whereas the correct answer is 'ICU Admissions'. Therefore, the AI response is incorrect.\",\n \"Correctness Details\": {\n \"ICU Admissions\": false\n },\n \"Excessive Answers\": [\n \"Confirmed cases among healthcare workers\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 909, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 99, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.15} {"qid": "dsfull-326", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "39d6b6518ef2bcbfa670cce2d4e2238629a6ad90195bcf400f5c33d4b66e4ac0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly provided the coordinates for the earliest earthquake within the specified criteria. The coordinates provided are very close to the correct answer, with only minor differences in decimal precision.\",\n \"Correctness Details\": {\n \"33.492\u00b0N 116.439\u00b0W\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1012, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 102, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.294} {"qid": "dsfull-327", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9b1cca08ca36c7c82791494d95548340d504b11515f3bb1946e4ef4e5e8e8d02", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Jeff Gustafson' which is a form of the correct answer 'Jeff Gustafson'. The additional information provided is supplementary but does not detract from the correctness of the answer.\",\n \"Correctness Details\": {\n \"Jeff Gustafson\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 899, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 92, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.106} {"qid": "dsfull-329", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "dda6273bdbca2976adc9b83368871890c3a0f019857b2ac7860a0839dd74a01d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the states listed in the correct answer (California, New York, Illinois, Ohio). There are no excessive answers.\",\n \"Correctness Details\": {\n \"California\": true,\n \"New York\": true,\n \"Illinois\": true,\n \"Ohio\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1031, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 101, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.98} {"qid": "dsfull-331", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e26fb04ddebbc7f9e5b620f0d56d58b012411fb3d576b84da31d180b5d626592", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Miss Aldridge Regrets' as the second book, matching the provided correct answer. It also provides supporting information and links.\",\n \"Correctness Details\": {\n \"Miss Aldridge Regrets\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 961, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 85, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.948} {"qid": "dsfull-333", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "42abe2e9974f0436c89e35d7ef136201cc2bfadb23c4439a4adc56199d201c9a", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":6979205}}}", "raw_judge": null, "wall_s": 0.309} {"qid": "dsfull-334", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "bd35264178039aade33dd3fbd5cdcafee605f82120ae7d63cc242ab5c9440cf1", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":6979205}}}", "raw_judge": null, "wall_s": 0.289} {"qid": "dsfull-335", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "b7723e3eac72812fcef0eb52150ace27ed4034ed523be9b4846b065cd949dcf2", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":6979205}}}", "raw_judge": null, "wall_s": 0.312} {"qid": "dsfull-336", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "294f9a6c1875772a40b629d591191ee5834928f1b64671884979bb3a6302db5e", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":6979205}}}", "raw_judge": null, "wall_s": 0.314} {"qid": "dsfull-332", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ce2101564867673716b20569405a8ceaad42d0bdd849ab0a18236d4426cd1e91", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies N. K. Jemisin as the most recurring Hugo Award winner, which matches the single correct answer. The response also provides additional context about the number of wins and specific works, which is helpful but not explicitly asked for.\",\n \"Correctness Details\": {\n \"N. K. Jemisin\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1057, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 105, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.456} {"qid": "dsfull-337", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "5a63140a064bbfbff18f4bc08d9809407b6f87b992773f70d3104d6460c504c8", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":6979205}}}", "raw_judge": null, "wall_s": 0.31} {"qid": "dsfull-338", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "e74f18e1d8ed879ea7b50ef32f6a493779d3f0aa61c4bdde5644f9e842cba7f6", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":6979205}}}", "raw_judge": null, "wall_s": 0.323} {"qid": "dsfull-339", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "6daa95aecc4483c6af2dafe1d389a862578ee2946b854fc3d27c10e05cee8372", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":6979205}}}", "raw_judge": null, "wall_s": 0.302} {"qid": "dsfull-340", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "724be85803ba4d5372f209cb03f8a5283cdd6702ee105005ca74a9fc9f2b3673", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":6979205}}}", "raw_judge": null, "wall_s": 0.276} {"qid": "dsfull-342", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "a5975beb16d7dd5de9351140ef7643f7d64519b21122ebf88d5386016717293e", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":6979205}}}", "raw_judge": null, "wall_s": 0.289} {"qid": "dsfull-341", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "847bbc734cf8a47ae4c157e431c2ed44b7e9c539cba4bd96c383c954b03902ca", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":6979205}}}", "raw_judge": null, "wall_s": 0.293} {"qid": "dsfull-343", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "d00bd53b8672b3ef6d329934327b495831573ac7c87ca32a79fbedb446e7c09b", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":6979205}}}", "raw_judge": null, "wall_s": 0.376} {"qid": "dsfull-344", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "7d7f9d3c30344a1508fe8a14cb62f729aa926f99d32fc05bd3a33dc9a34184d7", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":6979205}}}", "raw_judge": null, "wall_s": 0.265} {"qid": "dsfull-345", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "67a6a202b170ab3ad99f4f1393627cfb812ad75dab685eaa60786b3531729d26", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":6979205}}}", "raw_judge": null, "wall_s": 0.267} {"qid": "dsfull-346", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "259b52a5f96728db22d28241cee79942009e895bcc48634fa394e69e7273496d", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":6979205}}}", "raw_judge": null, "wall_s": 0.256} {"qid": "dsfull-348", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "1f1d460bc0c9f0f4e713ba6f67a98d1aa427e5779f4519521de0873373dcafe2", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":6979205}}}", "raw_judge": null, "wall_s": 0.251} {"qid": "dsfull-347", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "0cf8fa166f1ab3677a4fd0061a6403b57fe676e1f90d9993398c5a9742af9da1", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":6979205}}}", "raw_judge": null, "wall_s": 0.304} {"qid": "dsfull-330", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3a4dc63c0589c327ffe47f47c7554c7c09dd325ea3b268c1d224b1b02a2f0e22", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The prompt asks for which of the specified countries had a higher medal count in Rio 2016 AND competed in the fewest Olympics as of 2022. The AI response correctly identifies that the US, Great Britain, Japan, and Canada increased their medal count. It also correctly identifies Japan as the country with the fewest Olympic appearances. However, the final answer provided by the AI lists multiple countries as the answer to the first part of the question (US, Great Britain, Canada, Japan) instead of selecting the one that also satisfies the second condition (fewest Olympic appearances), which is Japan. While the AI correctly identifies Japan for the second condition, its 'Final Answer' is ambiguous and lists all countries that increased their medal count, implying they are all part of the answer to the first part, which is not what the question asked for. The question implicitly asks for the *single* country that satisfies *both* conditions. Therefore, it does not provide the singular correct answer. The AI correctly identified Japan as the country with the fewest appearances, and also listed Japan as one of the countries that increased its medal count, but failed to synthesize these two points into a single correct answer in its final output.\",\n \"Correctness Details\": {\n \"Japan\": false\n },\n \"Excessive Answers\": [\n \"United States\",\n \"Great Britain\",\n \"Canada\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1187, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 316, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 3, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 3.002} {"qid": "dsfull-349", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "16470c76b6248a1ffbef16a790e5aa1f63a15e11c02d4d12fb7b2baa1029bbff", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":6979205}}}", "raw_judge": null, "wall_s": 0.291} {"qid": "dsfull-350", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "9ef4ff26e9687132a96560633f09e4baf0930b15fef00fcc3b5187264c471ba8", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter 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"status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":6979205}}}", "raw_judge": null, "wall_s": 0.251} {"qid": "dsfull-360", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "bf3b3300f0399cc2f64c2bc6ebe88507d024bffb3a3ceaa02ab904619ed4cfb3", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":6979205}}}", "raw_judge": null, "wall_s": 0.338} {"qid": "dsfull-361", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "acdbaca450e716b79430d6d7fd10bd0ddccb98458e60046a0faf00788ccb3a66", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":12424103}}}", "raw_judge": null, "wall_s": 0.259} {"qid": "dsfull-362", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "3c5ba65c85a28d4aad4de68141289c2393e4d050f4e821c0e0e4cd06768ae2b0", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":12424103}}}", "raw_judge": null, "wall_s": 0.26} {"qid": "dsfull-363", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "ff30aa15694c3b4ed3c3540e957be13cb079bbfd3ce6c32ecfcb7cdf7d603b3a", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":12424103}}}", "raw_judge": null, "wall_s": 0.258} {"qid": "dsfull-328", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4c09e0eda2083c074e41dc538a2c220ae28b4fa1b8c3fb3ece2d82907b381624", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identifies all the music discs and their composers along with their real names, dates of birth, and countries. However, for Samuel \u00c5berg, the AI states his birthday as June 5, 1986, while the correct answer states May 30, 1986. For Aaron Cherof, the AI states his birthday as February 21, 1985, while the correct answer states N/A. The AI's information for C418 and Lena Raine is correct.\",\n \"Correctness Details\": {\n \"\\\"13\\\" by C418 (Daniel Rosenfeld 5-9-1989 Germany)\": true,\n \"\\\"cat\\\" by C418 (Daniel Rosenfeld 5-9-1989 Germany)\": true,\n \"\\\"blocks\\\" by C418 (Daniel Rosenfeld 5-9-1989 Germany)\": true,\n \"\\\"chirp\\\" by C418 (Daniel Rosenfeld 5-9-1989 Germany)\": true,\n \"\\\"far\\\" by C418 (Daniel Rosenfeld 5-9-1989 Germany)\": true,\n \"\\\"mall\\\" by C418 (Daniel Rosenfeld 5-9-1989 Germany)\": true,\n \"\\\"mellohi\\\" by C418 (Daniel Rosenfeld 5-9-1989 Germany)\": true,\n \"\\\"stal\\\" by C418 (Daniel Rosenfeld 5-9-1989 Germany)\": true,\n \"\\\"strad\\\" by C418 (Daniel Rosenfeld 5-9-1989 Germany)\": true,\n \"\\\"ward\\\" by C418 (Daniel Rosenfeld 5-9-1989 Germany)\": true,\n \"\\\"11\\\" by C418 (Daniel Rosenfeld 5-9-1989 Germany)\": true,\n \"\\\"wait\\\" by C418 (Daniel Rosenfeld 5-9-1989 Germany)\": true,\n \"\\\"Pigstep\\\" by Lena Raine (Lena Raine 2-29-1984 United States)\": true,\n \"\\\"Otherside\\\" by Lena Raine (Lena Raine 2-29-1984 United States)\": true,\n \"\\\"Creator\\\" by Lena Raine (Lena Raine 2-29-1984 United States)\": true,\n \"\\\"Creator (Music Box)\\\" by Lena Raine (Lena Raine 2-29-1984 United States)\": true,\n \"\\\"5\\\" by Samuel \u00c5berg (Samuel \u00c5berg 5-30-1986 Sweden)\": false,\n \"\\\"Relic\\\" by Aaron Cherof (Aaron Cherof N/A United States)\": false,\n \"\\\"Precipice\\\" by Aaron Cherof (Aaron Cherof N/A United States)\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1717, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 711, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 16, "false_positives": 0, "false_negatives": 3, "precision": 1.0, "recall": 0.8421052631578947, "f1": 0.9142857142857143, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 4.218} {"qid": "dsfull-364", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "131ee1e73d53dbc5590d1a27c896c2929006db968ee8ffaf95d4d2e7b6ffe990", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":12424103}}}", "raw_judge": null, "wall_s": 0.25} {"qid": "dsfull-365", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "78cbce9ff783fbcc6b02d7d05406e92910e2b0da8cbf60b964c5dfb48c4c34c5", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":12424103}}}", "raw_judge": null, "wall_s": 0.255} {"qid": "dsfull-366", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "2bc3272fd40c151a465bc2bf6973dfb5ff7474b3242be69a6065263b5d0056c4", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":12424103}}}", "raw_judge": null, "wall_s": 0.252} {"qid": "dsfull-367", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "2ff64b9a4d26f35e492b2cf3201fea0b29e0b126fe9dea4eff55db530b28657d", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":12424103}}}", "raw_judge": null, "wall_s": 0.249} {"qid": "dsfull-368", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "9f247acda374d264a9e6238c9bd903b459ad74fd275d7ad44220d56b7021647a", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":12424103}}}", "raw_judge": null, "wall_s": 0.273} {"qid": "dsfull-370", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "5ed09f881d89a5c1512ea85fcc23fe87b58cd75838de09c3d18feba8a534ed3d", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":12424103}}}", "raw_judge": null, "wall_s": 0.24} {"qid": "dsfull-371", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "ea3e2ea2abe9c85c978a3a53208816611450cdb7d757f5bad8fdd0166c0ab614", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":12424103}}}", "raw_judge": null, "wall_s": 0.243} {"qid": "dsfull-372", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "42a81aefe0466f938e73b6f1cb36a52c90a1e6c0c8c00e2871955630b547677c", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":12424103}}}", "raw_judge": null, "wall_s": 0.269} {"qid": "dsfull-369", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "7fda9ea75aad2c3ecc94d085f492253ad3a270f13747ffb3f8688d8aa4159140", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":12424103}}}", "raw_judge": null, "wall_s": 0.468} {"qid": "dsfull-373", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "4f8cc64f8f27f206277dd39ff7d3d109c561db91eb1a3812fe0edda36e355d41", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":12424103}}}", "raw_judge": null, "wall_s": 0.253} {"qid": "dsfull-375", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "d1b42aa5442ad56f74307bd0ba067b2e370fe62871465c198fb936b24a88c167", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":12424103}}}", "raw_judge": null, "wall_s": 0.251} {"qid": "dsfull-374", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "3dc0be9de042407e1f530033ff1970a64f8d86e20c962fa7350f1a9adbaeabb0", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":12424103}}}", "raw_judge": null, "wall_s": 0.266} {"qid": "dsfull-376", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "03b0be0977ca998f0620b8e2f503e2454ec309b4d04296cbb1dac32b2f17370b", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":12424103}}}", "raw_judge": null, "wall_s": 0.284} {"qid": "dsfull-378", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "e31121fcaadad10ab295dec6016ab317b5671238003fc8636e5e3b6742e7f88d", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":12424103}}}", "raw_judge": null, "wall_s": 0.23} {"qid": "dsfull-377", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": 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"status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":12424103}}}", "raw_judge": null, "wall_s": 0.279} {"qid": "dsfull-381", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "c8f98ae91c6a53b3fed0b591cae2af7fb9071bf7bbcc686a8678b3faba25f02e", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":12424103}}}", "raw_judge": null, "wall_s": 0.258} {"qid": "dsfull-382", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "23eacfbcf9e54689f96b87b6c54f8bee57033f2db1e3ee4265d7ced5cca4a7f6", "status": "ERROR", "error": 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Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.277} {"qid": "dsfull-874", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "0f793248e669695ccc41af8b371c55e566d9a07348e4ec9bb01c6b234c8fb5d8", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.283} {"qid": "dsfull-876", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "816ac0d83b96981fb16ef06768c0ad08470abad4d1167c029c5baf25fc4917dc", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.268} {"qid": "dsfull-877", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "6403d1638dd94d7503b88041eea0b22c5bfee7852309096498a317877ffcb2a4", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.253} {"qid": "dsfull-878", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "65c59f8f965013f6ed4853d1c942d9ff6fced70c35aa7e17a8e30f540ac55597", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.26} {"qid": "dsfull-875", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "8f21ef13385e74e9a28afbdca8123797c7b02720c1ed836cbe967c4068e23bcf", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.376} {"qid": "dsfull-880", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "2bc9c68b9cd889a5df5cc5273e743ebf934d219dd11c95939eebfbe0fe573946", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.299} {"qid": "dsfull-879", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "e8ee0aa7543013f75da215663fafc1ff50c315442829b1e366e2cf56efedddd8", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.422} {"qid": "dsfull-882", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "23db412ab55089826fe1a0700bd84b7dd148392bbcdc0d3bcb200af1cb91b1c5", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.292} {"qid": "dsfull-883", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "adabdad3e8e66539f559bad3dd19c7fc9ddc597a9bc077ea8ecdc3959320df86", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.297} {"qid": "dsfull-881", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "74d63e04003ceda703a03bd6172eabdc80cf57279b98f988cd1110737a8918a2", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.387} {"qid": "dsfull-884", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "263db1b1cd27ea109f8e9e2943b2005dbd7f53cb6db5548da91f86a7d405e2ff", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.285} {"qid": "dsfull-886", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "b45ec35825237d22ee84ff564988fd536ca7bddd4798176dfcf6c264306d0a2e", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.283} {"qid": "dsfull-885", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "09beadded89c34a10f839bc9316e392c2b817253e2911b34b75bf8a142c20c44", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.295} {"qid": "dsfull-887", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "f17dc0e155931bf42b647e0d8ff61ae1fb5aadbb7fb0f9ade0ff55333692edda", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.253} {"qid": "dsfull-888", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "2951181a8ae31238724d916d2e95ed43029d606953da6c00217688a2cc7f9677", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.263} {"qid": "dsfull-891", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "19eb0ff48414fafd22d53ff05ee074841ea0cccc6d3c1d5bcbe969b0758e49a8", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.26} {"qid": "dsfull-890", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "9c8cc144a9741b0d0e4660353bf6339fc2f03084c9d4d384646f3e38ae37a072", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.267} {"qid": "dsfull-892", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "3567b9939ab5cc0fe2689ab548ef1c55667655ed742d95b573ad6f2bf449b7a9", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.25} {"qid": "dsfull-893", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "c1176cc18ee4f0039e5124cbec82bd1883571c8f08186570aba04bb78056d5c0", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.284} {"qid": "dsfull-889", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "0f77fcf13c84951ba3e995d291b57208be4c3cc7d1c9cb64fe1f036664fded32", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.41} {"qid": "dsfull-895", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "fea08bd3f09415bd75ad221dddab7e0645bb38c7b0f0dee7bc51e4d0d5847879", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.283} {"qid": "dsfull-894", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "9cbf4852e37f7e87ae015a3abd0fd2c07aec15c41d32730e284cddc26070df47", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.29} {"qid": "dsfull-896", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "a9d615a6347711201e857188b46edf275f1e0b3f229cc500f0391011e360b494", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.313} {"qid": "dsfull-897", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "4fc351bf295501f11e56d57e82b1080ef3425d8c97a71105b3144eb9bccf3be2", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.275} {"qid": "dsfull-899", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "e910a045c79c24defa22beb4703341c2552923a55078d39091ab0492e010a974", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.266} {"qid": "dsfull-898", "source_tag": "astra-scry-frozen-full2-20260905", "request_sha256": "70762c0cd7a4ce2c7382706b8da6748609143970f76e039350644a1a4e4dc479", "status": "ERROR", "error": "{\"error\":{\"code\":\"insufficient_credits\",\"message\":\"Your Scry balance cannot cover inference right now \u2014 add funds under Dashboard \u2192 Billing, or send your own OpenRouter key.\",\"details\":{\"debt_nanodollars\":16206571}}}", "raw_judge": null, "wall_s": 0.639} {"qid": "dsfull-333", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "42abe2e9974f0436c89e35d7ef136201cc2bfadb23c4439a4adc56199d201c9a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies that it would be cheaper to buy the bag in Europe, aligning with the single answer prompt type and the provided correct answer.\",\n \"Correctness Details\": {\n \"Europe\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1188, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 80, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.9} {"qid": "dsfull-335", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b7723e3eac72812fcef0eb52150ace27ed4034ed523be9b4846b065cd949dcf2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the states from the provided correct answer. It lists 'AL; FL; NY; PA; TX; VA', which matches the ground truth exactly. There are no excessive answers.\",\n \"Correctness Details\": {\n \"AL\": true,\n \"FL\": true,\n \"NY\": true,\n \"PA\": true,\n \"TX\": true,\n \"VA\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 933, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 127, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.9} {"qid": "dsfull-336", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "294f9a6c1875772a40b629d591191ee5834928f1b64671884979bb3a6302db5e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both Heathrow and Edinburgh as the airports that meet the criteria. The response also provides a table with the flight data for each airport and month, further supporting its answer. The wording 'London Heathrow' is equivalent to 'Heathrow' in the correct answer.\",\n \"Correctness Details\": {\n \"Heathrow\": true,\n \"Edinburgh\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1204, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 114, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.086} {"qid": "dsfull-337", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5a63140a064bbfbff18f4bc08d9809407b6f87b992773f70d3104d6460c504c8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both Legionella and Pseudomonas, which are the two bacterial etiologies that had more than 10 confirmed recreational-water-associated cases in 2015 based on the provided criteria.\",\n \"Correctness Details\": {\n \"Legionella\": true,\n \"Pseudomonas\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1014, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 104, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.271} {"qid": "dsfull-334", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "bd35264178039aade33dd3fbd5cdcafee605f82120ae7d63cc242ab5c9440cf1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the MPs who nominated both Jeremy Corbyn and Keir Starmer before their respective leadership elections, along with their constituencies. However, it also included several MPs who did not meet this criteria, such as Dawn Butler, Sarah Champion, Chi Onwurah, Gareth Thomas, and Catherine West.\",\n \"Correctness Details\": {\n \"Clive Efford - Eltham\": true,\n \"David Lammy - Tottenham\": true,\n \"Margaret Beckett - Derby South\": true,\n \"Rupa Huq - Ealing Central and Acton\": true,\n \"Rushanara Ali - Bethnal Green and Bow\": true,\n \"Tulip Siddiq - Hampstead and Kilburn\": true\n },\n \"Excessive Answers\": [\n \"Dawn Butler \u2014 Brent Central\",\n \"Sarah Champion \u2014 Rotherham\",\n \"Chi Onwurah \u2014 Newcastle upon Tyne Central\",\n \"Gareth Thomas \u2014 Harrow West\",\n \"Catherine West \u2014 Hornsey and Wood Green\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1015, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 246, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 5, "false_negatives": 0, "precision": 0.5454545454545454, "recall": 1.0, "f1": 0.7058823529411764, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 2.359} {"qid": "dsfull-338", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e74f18e1d8ed879ea7b50ef32f6a493779d3f0aa61c4bdde5644f9e842cba7f6", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response states that it could not retrieve the underlying Census table and therefore cannot reliably name the qualifying regions. This indicates that it did not provide any of the correct answers.\",\n \"Correctness Details\": {\n \"Wellington\": false,\n \"Nelson\": false,\n \"Marlborough\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1033, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 102, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 3, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.07} {"qid": "dsfull-339", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6daa95aecc4483c6af2dafe1d389a862578ee2946b854fc3d27c10e05cee8372", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies Sri Lanka as the country with the largest real GDP per capita average for 2021 & 2022. The correct answer is Bhutan.\",\n \"Correctness Details\": {\n \"Bhutan\": false\n },\n \"Excessive Answers\": [\n \"Sri Lanka\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 955, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 97, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.07} {"qid": "dsfull-342", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a5975beb16d7dd5de9351140ef7643f7d64519b21122ebf88d5386016717293e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Mexico' as the country, which aligns with the provided correct answer. It also provides additional context about the site and its area, which is helpful but not directly part of the expected single answer.\",\n \"Correctness Details\": {\n \"Mexico\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 985, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 95, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.921} {"qid": "dsfull-341", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "847bbc734cf8a47ae4c157e431c2ed44b7e9c539cba4bd96c383c954b03902ca", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the University of Cambridge and UCL. However, it also includes the University of Oxford, which is an excessive answer as it is not present in the correct answer set.\",\n \"Correctness Details\": {\n \"University of Cambridge\": true,\n \"UCL\": true\n },\n \"Excessive Answers\": [\n \"University of Oxford\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 887, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 108, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 0, "precision": 0.6666666666666666, "recall": 1.0, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.027} {"qid": "dsfull-340", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "724be85803ba4d5372f209cb03f8a5283cdd6702ee105005ca74a9fc9f2b3673", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly listed all the investigation Report Numbers specified in the correct answer. All the provided answers are present in the response.\",\n \"Correctness Details\": {\n \"RIR-24-02\": true,\n \"RIR-24-03\": true,\n \"RIR-23-09\": true,\n \"HZIR-23-01\": true,\n \"RIR-23-16\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 920, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 139, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.229} {"qid": "dsfull-346", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "259b52a5f96728db22d28241cee79942009e895bcc48634fa394e69e7273496d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three states listed in the correct answer: Mississippi, Louisiana, and Arkansas. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Mississippi\": true,\n \"Louisiana\": true,\n \"Arkansas\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 989, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 91, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.929} {"qid": "dsfull-344", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7d7f9d3c30344a1508fe8a14cb62f729aa926f99d32fc05bd3a33dc9a34184d7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The prompt asks for two things: the five states with the highest poverty rate and, among those five, which had the highest number of grandparents on disability taking care of grandchildren under 18. The AI response correctly identifies Louisiana as the state with the highest number of grandparents with disabilities taking care of grandchildren under 18, which is the final answer sought by the prompt.\",\n \"Correctness Details\": {\n \"Louisiana\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1026, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 125, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.273} {"qid": "dsfull-347", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0cf8fa166f1ab3677a4fd0061a6403b57fe676e1f90d9993398c5a9742af9da1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'The NFC East' as the NFL division that drafted the most players from the SEC in the 2022 NFL draft, based on the specific criteria provided in the prompt.\",\n \"Correctness Details\": {\n \"The NFC East\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1036, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 94, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.97} {"qid": "dsfull-345", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "67a6a202b170ab3ad99f4f1393627cfb812ad75dab685eaa60786b3531729d26", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Canis Minor' as the constellation, which aligns with the provided correct answer. The AI also provides supporting details for its choice, which are not explicitly requested but are helpful.\",\n \"Correctness Details\": {\n \"Canis Minor\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1078, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 93, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.372} {"qid": "dsfull-343", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d00bd53b8672b3ef6d329934327b495831573ac7c87ca32a79fbedb446e7c09b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the years specified in the correct answer (2009, 2012, 2015, 2018, 2019, 2021, 2022, 2023) as meeting both the callout and hours thresholds. There are no excessive answers.\",\n \"Correctness Details\": {\n \"2009\": true,\n \"2012\": true,\n \"2015\": true,\n \"2018\": true,\n \"2019\": true,\n \"2021\": true,\n \"2022\": true,\n \"2023\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1212, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 200, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 8, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.687} {"qid": "dsfull-350", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9ef4ff26e9687132a96560633f09e4baf0930b15fef00fcc3b5187264c471ba8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Iran' as the country with the least number of air passengers among those meeting the CO2 emission criteria, which matches the provided correct answer.\",\n \"Correctness Details\": {\n \"Iran\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 843, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 84, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.941} {"qid": "dsfull-348", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1f1d460bc0c9f0f4e713ba6f67a98d1aa427e5779f4519521de0873373dcafe2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Albania and Algeria as the countries with an increase in GDP per capita of more than $8000 from 1985 to 2022, matching the correct answer.\",\n \"Correctness Details\": {\n \"Albania\": true,\n \"Algeria\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 983, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 103, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.013} {"qid": "dsfull-349", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "16470c76b6248a1ffbef16a790e5aa1f63a15e11c02d4d12fb7b2baa1029bbff", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the countries listed in the correct answer (India, Nepal, Bhutan, Bangladesh) as having an increase in life expectancy at birth of more than 5 years from 2000 to 2020. It also correctly states that Pakistan's increase was less than 5 years, which aligns with the correct answer implicitly excluding Pakistan.\",\n \"Correctness Details\": {\n \"India\": true,\n \"Nepal\": true,\n \"Bhutan\": true,\n \"Bangladesh\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 948, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 148, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.312} {"qid": "dsfull-352", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4b399695a26acd8d3a7c3edfe8df5845274d687e4a48f3fb722733be58594fde", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'The Americas' as the continent with the second largest percentage increase in aquaculture employment between 2005 and 2020, matching the provided correct answer. The additional context about checking the FAO table is extra information but does not detract from the correctness of the answer itself.\",\n \"Correctness Details\": {\n \"The Americas\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 901, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 114, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.154} {"qid": "dsfull-351", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "dae0e72f594d884e7d49526682241f31452555d66121c0ff849955ac929468b5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Harvard University but incorrectly included Princeton University and Yale University as schools meeting the criteria. It missed Columbia University.\",\n \"Correctness Details\": {\n \"Harvard University\": true,\n \"Columbia University\": false\n },\n \"Excessive Answers\": [\n \"Princeton University\",\n \"Yale University\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 916, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 100, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 2, "false_negatives": 1, "precision": 0.3333333333333333, "recall": 0.5, "f1": 0.4, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.255} {"qid": "dsfull-353", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "290fd20597b02636b78eb6d397cf08fd6bc7ff5b7ed607d4943832984b7af04a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response provides 'Normania nava' as the answer, which is incorrect. The correct answer is 'Islamia ateni'.\",\n \"Correctness Details\": {\n \"Islamia ateni\": false\n },\n \"Excessive Answers\": [\n \"Normania nava\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 881, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 93, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.105} {"qid": "dsfull-355", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f5ed254e6a0ff29d377bef313b065f6584671e4517d517e289c4d61719282e28", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the countries listed in the correct answer: Canada, France, and Australia. It also provides a table with the data points that support its conclusion, making it easy to verify the answer.\",\n \"Correctness Details\": {\n \"Canada\": true,\n \"France\": true,\n \"Australia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1143, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 107, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.009} {"qid": "dsfull-356", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "67a81383da7ec957b843cba64c99e117db483914628665b78b9ed96f67272de8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified the title of the 2012 article as 'Adolescent to Parent Violence and Youth Justice in England and Wales', which matches the correct answer.\",\n \"Correctness Details\": {\n \"Adolescent to Parent Violence and Youth Justice in England and Wales\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 949, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 99, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.217} {"qid": "dsfull-359", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d0ea30f0d64c6b2d0a7cad4200a34863a6e61dac22d33887a60e7065327aa48b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three countries in the correct order as per the ground truth answer. Although the response states it could not retrieve numerical data and the answer is an 'unverified estimate,' the final ranking matches the expected correct answer.\",\n \"Correctness Details\": {\n \"United States\": true,\n \"China\": true,\n \"India\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1041, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 113, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.157} {"qid": "dsfull-358", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e0a7aa882768d4c6c1c4d86ffc493cb2b4f4f9f4c9c9c3c2c3db482d60ee4b4c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified several countries from the correct answer list but also included a number of excessive countries not found in the ground truth. It missed Sweden from the correct answer.\",\n \"Correctness Details\": {\n \"Lithuania\": true,\n \"Slovakia\": true,\n \"Greece\": true,\n \"Slovenia\": true,\n \"Croatia\": true,\n \"Belgium\": true,\n \"Finland\": true,\n \"Latvia\": true,\n \"Netherlands\": true,\n \"Estonia\": true\n },\n \"Excessive Answers\": [\n \"Romania\",\n \"Poland\",\n \"Czech Republic\",\n \"Hungary\",\n \"Sweden\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1120, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 185, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 10, "false_positives": 5, "false_negatives": 0, "precision": 0.6666666666666666, "recall": 1.0, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.441} {"qid": "dsfull-357", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7a19b21484ea213ac37a22162951546262023250fb0aa5c466f5a80b34aee717", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response successfully identified most of the companies and their last filing years from the correct answer. However, it missed 'YOCREAM INTERNATIONAL INC (2006)' and incorrectly included 'Hibernia Foods PLC (2006)'. Additionally, 'New Yorker Marketing Corp.' has a filing year of 2006 in the correct answer, but the AI response lists it as 2000.\",\n \"Correctness Details\": {\n \"BEN & JERRYS HOMEMADE INC (2000)\": true,\n \"DREYERS GRAND ICE CREAM HOLDINGS INC (2006)\": true,\n \"DREYERS GRAND ICE CREAM INC (2003)\": true,\n \"ESKIMO PIE CORP (2000)\": true,\n \"INTEGRATED BRANDS INC (1998)\": true,\n \"MAMA TISHS ITALIAN SPECIALTIES INC (1996)\": true,\n \"MASTELLONE BROTHERS INC (2006)\": true,\n \"NEW YORKER MARKETING CORP (2006)\": false,\n \"SUIZA CAPITAL TRUST II (2001)\": true,\n \"TCBY ENTERPRISES INC (2000)\": true,\n \"YOCREAM INTERNATIONAL INC (2006)\": false\n },\n \"Excessive Answers\": [\n \"Hibernia Foods PLC (2006)\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1956, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 356, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 9, "false_positives": 1, "false_negatives": 2, "precision": 0.9, "recall": 0.8181818181818182, "f1": 0.8571428571428572, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.033} {"qid": "dsfull-354", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ccfae0e0a386a77635176ff20364a538b2ad46ffad9fc8bfe7c3260c394da9ac", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the states from the correct answer (Connecticut, Maine, New Hampshire, Rhode Island) and orders them correctly based on the provided fatality data. It also correctly notes that no state bordering the Great Lakes prohibits left turn on red, which was part of the implicit criteria of the prompt.\",\n \"Correctness Details\": {\n \"Connecticut\": true,\n \"Maine\": true,\n \"New Hampshire\": true,\n \"Rhode Island\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 978, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 136, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.743} {"qid": "dsfull-360", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "bf3b3300f0399cc2f64c2bc6ebe88507d024bffb3a3ceaa02ab904619ed4cfb3", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Kyprolis' as the first drug for cancer treatment granted accelerated approval by the FDA since the specified legislation was passed, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Kyprolis\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1031, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 88, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.035} {"qid": "dsfull-362", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3c5ba65c85a28d4aad4de68141289c2393e4d050f4e821c0e0e4cd06768ae2b0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'South Africa' as the country with the lowest male labour force participation rate, which matches the correct answer. The response also provides supporting details and a clear final answer.\",\n \"Correctness Details\": {\n \"South Africa\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1027, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 90, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.022} {"qid": "dsfull-361", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "acdbaca450e716b79430d6d7fd10bd0ddccb98458e60046a0faf00788ccb3a66", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies '1983' as the first year, which matches the provided correct answer. It also provides additional relevant details about the plaque recipient and location, which are not considered excessive as they support the core answer.\",\n \"Correctness Details\": {\n \"1983\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 915, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 101, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.197} {"qid": "dsfull-364", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "131ee1e73d53dbc5590d1a27c896c2929006db968ee8ffaf95d4d2e7b6ffe990", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Kansas as the state that met both specified conditions: a median housing listing price between $280k and $300k in January 2023, and an average grade 8 math score over 270 in 2022. The response also provided the specific values and sources for each condition, which aligns with the correct answer.\",\n \"Correctness Details\": {\n \"Kansas\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1001, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 130, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.212} {"qid": "dsfull-365", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "78cbce9ff783fbcc6b02d7d05406e92910e2b0da8cbf60b964c5dfb48c4c34c5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the dog breeds that consistently made the top 10 of the most popular dog breed rankings from the American Kennel Club between 2013-2024, matching all items in the correct answer.\",\n \"Correctness Details\": {\n \"Labrador Retriever\": true,\n \"Golden Retriever\": true,\n \"German Shepherd\": true,\n \"Poodle\": true,\n \"Bulldog\": true,\n \"Beagle\": true,\n \"Rottweiler\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1059, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 151, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 7, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.207} {"qid": "dsfull-363", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ff30aa15694c3b4ed3c3540e957be13cb079bbfd3ce6c32ecfcb7cdf7d603b3a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Indonesia as the country with the highest GDP in Southeast Asia under the specified conditions. It also provides additional, relevant information about Indonesia's GDP.\",\n \"Correctness Details\": {\n \"Indonesia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 925, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 84, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.335} {"qid": "dsfull-367", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2ff64b9a4d26f35e492b2cf3201fea0b29e0b126fe9dea4eff55db530b28657d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Sprout Social' as the company with the highest compound annual growth rate in gross profit from 2017 through 2019, which matches the correct answer. The AI also provided a detailed calculation and supporting information for its answer.\",\n \"Correctness Details\": {\n \"Sprout Social\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1032, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 108, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.942} {"qid": "dsfull-366", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2bc3272fd40c151a465bc2bf6973dfb5ff7474b3242be69a6065263b5d0056c4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three sites listed in the correct answer: Klondike Gold Rush National Historical Park, Pu\u02bbuhonua o H\u014dnaunau National Historical Park, and San Juan National Historic Site. The additional location details provided (Alaska unit, Hawaii, Puerto Rico) are accurate and do not contradict the prompt.\",\n \"Correctness Details\": {\n \"Klondike Gold Rush National Historical Park (Alaska)\": true,\n \"Pu\u02bbuhonua o H\u014dnaunau National Historical Park\": true,\n \"San Juan National Historic Site\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1005, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 159, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.519} {"qid": "dsfull-369", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7fda9ea75aad2c3ecc94d085f492253ad3a270f13747ffb3f8688d8aa4159140", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three counties listed in the correct answer: Anson County, Washington County, and Wilson County. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Anson County\": true,\n \"Washington County\": true,\n \"Wilson County\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1241, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 99, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.096} {"qid": "dsfull-368", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9f247acda374d264a9e6238c9bd903b459ad74fd275d7ad44220d56b7021647a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response incorrectly identifies Cobb County as a correct answer. Based on the provided table, Cobb County has a population over 80000 and a poverty rate of 9.2%, which is over 9%. However, the correct answer explicitly excludes Cobb County. This discrepancy makes the AI response partially incorrect. Hall County, Gwinnett County, and Barrow County are correctly identified as having populations over 80000 and poverty rates over 9%.\",\n \"Correctness Details\": {\n \"Gwinnett County\": true,\n \"Hall County\": true,\n \"Barrow County\": true\n },\n \"Excessive Answers\": [\n \"Cobb County\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1122, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 176, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 1, "false_negatives": 0, "precision": 0.75, "recall": 1.0, "f1": 0.8571428571428571, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.3} {"qid": "dsfull-370", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5ed09f881d89a5c1512ea85fcc23fe87b58cd75838de09c3d18feba8a534ed3d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all five countries specified in the correct answer: Guinea Bissau, Lesotho, Liberia, Sierra Leone, and Madagascar. The response also provides additional context and data from ourworldindata.org, which aligns with the prompt's requirements.\",\n \"Correctness Details\": {\n \"Guinea Bissau\": true,\n \"Lesotho\": true,\n \"Liberia\": true,\n \"Sierra Leone\": true,\n \"Madagascar\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1180, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 135, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.367} {"qid": "dsfull-371", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ea3e2ea2abe9c85c978a3a53208816611450cdb7d757f5bad8fdd0166c0ab614", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Honduras and Jamaica, but it missed Venezuela, which was also consistently in the top five during the specified period according to the prompt's source.\",\n \"Correctness Details\": {\n \"Jamaica\": true,\n \"Honduras\": true,\n \"Venezuela\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1105, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 100, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.6666666666666666, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.14} {"qid": "dsfull-373", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4f8cc64f8f27f206277dd39ff7d3d109c561db91eb1a3812fe0edda36e355d41", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all eight universities listed in the correct answer. The AI also provided helpful links to the source data.\",\n \"Correctness Details\": {\n \"California Institute of Technology\": true,\n \"ETH Zurich\": true,\n \"Harvard University\": true,\n \"Massachusetts Institute of Technology\": true,\n \"Princeton University\": true,\n \"Stanford University\": true,\n \"University of Cambridge\": true,\n \"University of Oxford\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1022, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 138, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 8, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.047} {"qid": "dsfull-372", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "42a81aefe0466f938e73b6f1cb36a52c90a1e6c0c8c00e2871955630b547677c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both Syria and Yemen as listed in the correct answer. The GDP figures provided in the table for both countries also match the criteria given in the prompt (2008 GDP > 25 billion USD and 2018 GDP < 22 billion USD).\",\n \"Correctness Details\": {\n \"Syria\": true,\n \"Yemen\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 988, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 120, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.115} {"qid": "dsfull-374", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3dc0be9de042407e1f530033ff1970a64f8d86e20c962fa7350f1a9adbaeabb0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both Milpitas and Mountain View as the qualifying cities, which matches the correct answer. It also provides supporting data and explanations for its filtering process.\",\n \"Correctness Details\": {\n \"Milpitas\": true,\n \"Mountain View\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1111, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 95, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.115} {"qid": "dsfull-376", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "03b0be0977ca998f0620b8e2f503e2454ec309b4d04296cbb1dac32b2f17370b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identified Lambeth and Wandsworth. However, it incorrectly included Haringey, which was not part of the correct answer set.\",\n \"Correctness Details\": {\n \"Lambeth\": true,\n \"Wandsworth\": true\n },\n \"Excessive Answers\": [\n \"Haringey\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1220, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 98, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 0, "precision": 0.6666666666666666, "recall": 1.0, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.218} {"qid": "dsfull-378", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e31121fcaadad10ab295dec6016ab317b5671238003fc8636e5e3b6742e7f88d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Wicklow' as the answer, which matches the provided correct answer.\",\n \"Correctness Details\": {\n \"Wicklow\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 855, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 73, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.893} {"qid": "dsfull-375", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d1b42aa5442ad56f74307bd0ba067b2e370fe62871465c198fb936b24a88c167", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response states that it was unable to retrieve the requested information, therefore it does not provide any of the correct answers.\",\n \"Correctness Details\": {\n \"Carbocisteine 375mg capsules\": false,\n \"Omeprazole 20mg gastro-resistant capsules\": false,\n \"Ezetimibe 10mg tablets\": false,\n \"Paracetamol 250mg/5ml oral suspension sugar free\": false,\n \"Alendronic acid 70mg tablets\": false,\n \"Promethazine hydrochloride 25mg tablets\": false,\n \"Mometasone 50micrograms/dose nasal spray\": false,\n \"Pregabalin 50mg capsules\": false,\n \"Salbutamol 2.5mg/2.5ml nebuliser liquid unit dose vials\": false,\n \"Terbinafine 250mg tablets\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1080, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 240, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 10, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.955} {"qid": "dsfull-379", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "94430dbfcc1f8df6f27c10d7b176c4b4072d9bb93dce519c6fb105cfd45a8e57", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the 'Northeast census region' as the answer, which matches the 'Census Region 1: Northeast (CENS-R1)' provided in the correct answer.\",\n \"Correctness Details\": {\n \"Census Region 1: Northeast (CENS-R1)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 884, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 101, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.993} {"qid": "dsfull-377", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c1fc350c89fa1c7cd69231bdcd04514c988d3085c657809b4e3d42cdb38d236f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Males aged 12-17' and 'Females aged 12-17'. However, it missed 'Females aged 6-11' from the correct answer set. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Males aged 12-17\": true,\n \"Females aged 6-11\": false,\n \"Females aged 12-17\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 957, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 139, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.6666666666666666, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.386} {"qid": "dsfull-380", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "beb4bb27e826b02a79b115aa58329ee205d8c1c10f52d3bf877607be69539164", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Sandwell' as the local authority with the lowest proportion of working-age residents, which aligns with the correct answer.\",\n \"Correctness Details\": {\n \"Sandwell\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1055, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 81, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.028} {"qid": "dsfull-381", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c8f98ae91c6a53b3fed0b591cae2af7fb9071bf7bbcc686a8678b3faba25f02e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three states: Idaho, Indiana, and Pennsylvania, which align with the provided correct answer. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Idaho\": true,\n \"Indiana\": true,\n \"Pennsylvania\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1007, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 94, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.107} {"qid": "dsfull-383", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a870166102892503dc35269b556bcbbf2908befb7f74babbf5017e7cc54c7e65", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both 2014 and 2016 as years where attendance was lower than the prior year and provides the correct total revenues for both years as specified in the correct answer.\",\n \"Correctness Details\": {\n \"2014: 32,364,009\": true,\n \"2016: 46,218,471\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1176, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 130, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.353} {"qid": "dsfull-384", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1fc4228fa528c01da4100558cc09afba0e5c54e290793af5b99c8fdfbc15edb1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Georgia, New York, and North Carolina. However, it also includes Florida, which is not in the correct answer set. The prompt asked for states with a higher-education attainment rate greater than that of Ohio in 2019, and Florida does not meet this criteria according to the provided correct answer.\",\n \"Correctness Details\": {\n \"Georgia\": true,\n \"New York\": true,\n \"North Carolina\": true\n },\n \"Excessive Answers\": [\n \"Florida\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1009, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 142, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 1, "false_negatives": 0, "precision": 0.75, "recall": 1.0, "f1": 0.8571428571428571, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.25} {"qid": "dsfull-385", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8b500f128ae7c03e86446920e5fe884429740e2947c60e1aaa42bde853b86385", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI explicitly states it could not confidently match the clues and did not provide any of the correct answers. Therefore, none of the expected answers were found.\",\n \"Correctness Details\": {\n \"Chris Cornell\": false,\n \"1991\": false,\n \"1992\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 882, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 102, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 3, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.024} {"qid": "dsfull-386", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f51ce354ecd39ac266068a96e1c0f4e94ed003370220d33581e48cb4d51c47f1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the countries listed in the correct answer: Monaco, Spain, Isle of Man, and Finland. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Monaco\": true,\n \"Spain\": true,\n \"Isle of Man\": true,\n \"Finland\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1137, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 106, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.992} {"qid": "dsfull-382", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "23eacfbcf9e54689f96b87b6c54f8bee57033f2db1e3ee4265d7ced5cca4a7f6", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all three capital asset categories that met both criteria: a percent increase in cost greater than 4% compared to the previous year and a cost greater than 3 million US dollars in 2019. The response also correctly noted why 'Other equipment' was excluded.\",\n \"Correctness Details\": {\n \"Transmission Systems\": true,\n \"Construction in progress\": true,\n \"Mobile equipment\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1079, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 128, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.318} {"qid": "dsfull-388", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "60225fa81093628125d1770b33c22caf368aab5c9e1265192534fe1c1f8ea430", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Haiti as the country with the highest level of caution in their Travel Advisory, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Haiti\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 912, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 77, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.955} {"qid": "dsfull-389", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e42bca6e15e9db6439e0000354774f5d3dff5597245a8407c1882349eb9bee90", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all states from the provided 'Correct Answer': Alabama, Mississippi, and South Carolina. The response also provides supporting details for some of the conditions.\",\n \"Correctness Details\": {\n \"Alabama\": true,\n \"Mississippi\": true,\n \"South Carolina\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1203, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 99, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.942} {"qid": "dsfull-387", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9ded7d24c9759560df4aa1e26c4dc6c5872eec79b613de039b4e0d5d052a1242", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Baton Rouge' as one of the capitals. However, it incorrectly identified 'Tallahassee' instead of 'Columbia' as the other capital. The prompt asked for capitals of the two states with the highest percentage of kindergartners enrolled in private schools, within the top five states with the highest percentage of kindergartners of total kids enrolled in school in states with kindergarten enrollment over 50,000 students. The correct answer should be Baton Rouge (Louisiana) and Columbia (South Carolina).\",\n \"Correctness Details\": {\n \"Baton Rouge\": true,\n \"Columbia\": false\n },\n \"Excessive Answers\": [\n \"Tallahassee\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 934, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 176, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 1, "false_negatives": 1, "precision": 0.5, "recall": 0.5, "f1": 0.5, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.5} {"qid": "dsfull-390", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "aedd3fbbed829f91282945df90794d622afae09df749bc185832d63a646468b5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identified Ontario and Alberta but incorrectly identified Manitoba instead of Saskatchewan. The response also acknowledges that the answer is not fully verified due to missing data extractions.\",\n \"Correctness Details\": {\n \"Ontario\": true,\n \"Alberta\": true,\n \"Saskatchewan\": false\n },\n \"Excessive Answers\": [\n \"Manitoba\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 985, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 109, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 1, "precision": 0.6666666666666666, "recall": 0.6666666666666666, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.149} {"qid": "dsfull-392", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "fc9974dfeb4ea66ad386cf4ba467fc94eb3f090bf9849f77982cf42cf3b743fb", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Spain' as the second-highest ranking country for the specified metrics, which matches the provided correct answer.\",\n \"Correctness Details\": {\n \"Spain\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 853, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 75, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.975} {"qid": "dsfull-393", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ee7664c85a1e33fdd15570b2ddbb298cd5b2a3833b708fa3968507a937b814bf", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both nationalities from the correct answer: French (Alain Prost) and Brazilian (Nelson Piquet). The response also provides additional context in a table format before giving the final answer.\",\n \"Correctness Details\": {\n \"French (Alain Prost)\": true,\n \"Brazilian (Nelson Piquet)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 952, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 108, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.18} {"qid": "dsfull-394", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "761a32a0c66f1ba7cc3b5260ee026673a695f7949ae94f4cb64e481357a5d49c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response explicitly states that it was unable to access the necessary data to answer the prompt and therefore did not provide any of the correct counties. Thus, none of the expected answers were found.\",\n \"Correctness Details\": {\n \"Baker County\": false,\n \"Calhoun County\": false,\n \"Dooly County\": false,\n \"Evans County\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 968, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 117, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 4, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.278} {"qid": "dsfull-395", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3b8ee7a5e9fa0cbe943c2babcfb37f926429ddeb6166cb5a1c6ba063a337f913", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three countries requested: Pakistan, Brazil, and Sri Lanka. The response also provides additional, relevant information such as population figures and a source, which is helpful context.\",\n \"Correctness Details\": {\n \"Pakistan\": true,\n \"Brazil\": true,\n \"Sri Lanka\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1133, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 104, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.216} {"qid": "dsfull-396", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "70a500ed19f9592e752af1b64e25c2e484eee7e386dbb34b47fce916022f9a58", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Slovakia as the EU member state with the lowest amount of goods transported by inland waterways in 2019, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Slovakia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 937, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 85, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.955} {"qid": "dsfull-397", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "33bde1e3126bae023f165c55a2ad34188bb6bc9a76ece7350671947440cd1331", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both Aliyah Alpert from Arizona and Kirsten Santos from Texas. The response included 'Tiffany' as part of Kirsten's name, which is an additional detail but does not invalidate the correctness of the answer regarding the individual.\",\n \"Correctness Details\": {\n \"Aliyah Alpert from Arizona\": true,\n \"Kirsten Santos from Texas\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 861, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 117, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.178} {"qid": "dsfull-391", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8ca34aa06633bad3ab2e4a6aa65ec8e00fbb8544de08ed0cdf71f85e900fc9b2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI explicitly states that it could not retrieve the transcript records reliably enough to provide the requested lists and therefore provides no answers. The correct answer, however, provides a comprehensive list for all three parts of the prompt, indicating the AI failed to answer the question.\",\n \"Correctness Details\": {\n \"1. All transcribed Kissinger-Brandon calls: 6/7/1974, 8/17/1974, 12/24/1974, 1/23/1975, 11/7/1975, 4/9/1976\": false,\n \"2. Post-fall of Saigon Kissinger-Brandon calls: 11/7/1975, 4/9/1976\": false,\n \"3. All other transcribed calls made on\\na. 11/7/1975:\\n- Telecon with Hugh Sidey and Kissinger AT 12:00 NOON\\n- Telecon with Kay Graham and the Secretary AT 1:25 P.M.\\n- Telecon with Buffum and the Secretary AT 8:05 A.M.\\n- Telecon with Richard Valeriani and Kissinger AT 4:20 P.M.\\n- Telecon with Kissinger and Humphrey AT 6:15 P.M.\\n- TELECON WITH LLOYD SCHERER AT 12:15 P.M.\\n- TELECON WITH GENERAL SCOWCROFT AT 5:55 P.M. \\n- TELECON WITH AMBASSADOR ANDERSON AT 11:40 A.M.\\n- TELECON WITH MR. LARS NELSON AT 9;15 P.M.\\n- TELECON WITH MR. SONNENFELDT AT 6:09 P.M.\\n- TELECON WITH MR. ERIC SEVARIED AT 12:15 P.M.\\n- TELECON WITH GENERAL SCOWCROFT AT 7:35 P.M. \\nb. 4/9/1976:\\n- TELECON WITH ARTHUR HARTMAN/SEC. KISSINGER AT 9:20 A.M.\\n- TELECON WITH MR. DAVID BINDER/SECRETARY KISSINGER AT 4:26 P.M.\\n- TELECON WITH MR. SCOTTY RESTON/SECRETARY KISSINGER AT 5:10 P.M.\\n- TELECON WITH KAY GRAHAM/SEC. KISSINGER\\n- TELECON WITH ART HARTMAN/SEC KISSINGER AT 2:37 P.M.\\n- TELECON WITH AMBASSADOR DINITZ AT 2:45 P.M.\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1709, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 636, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 3, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 2.695} {"qid": "dsfull-399", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5eb209dbc59b0ca35d5f91cd58823011bff1b50ae0dfd34e87410d0e9627baa2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identified Florida as the state with the highest drop in food insecurity rate, whereas the correct answer is California.\",\n \"Correctness Details\": {\n \"California\": false\n },\n \"Excessive Answers\": [\n \"Florida\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 885, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 83, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 0.95} {"qid": "dsfull-398", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "89e45ee073f71bb00799596f6ef7867142ee22a0b170e303c8d7cbfaed7f1f65", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Ireland as being above the baseline in January 2010, above the baseline in January 2015, and below the baseline in January 2020. However, it also incorrectly included Switzerland as an excessive answer.\",\n \"Correctness Details\": {\n \"Ireland\": true\n },\n \"Excessive Answers\": [\n \"Switzerland\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 921, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 112, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 1, "false_negatives": 0, "precision": 0.5, "recall": 1.0, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.197} {"qid": "dsfull-400", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f8ff94d24dc7190da0448ea514786caf9619b9e90156cc1bcf8a3a4cdd602ddc", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both Minnesota and South Dakota, and provided the correct science benchmark percentage for each, matching the correct answer exactly.\",\n \"Correctness Details\": {\n \"41% in Minnesota\": true,\n \"41% in South Dakota\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 991, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 93, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.165} {"qid": "dsfull-401", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "217f2142fc1b171544c06a55eee0b5dd865e5a3290dc8c827ce8665e8e81b67a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response provided '15620-0V030' as the part number, but the correct answer is '15620-36020'. Therefore, the answer is incorrect.\",\n \"Correctness Details\": {\n \"15620-36020\": false\n },\n \"Excessive Answers\": [\n \"15620-0V030\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 946, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 125, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.074} {"qid": "dsfull-404", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "aefe2f42458a545dd029c188aa9d4add5ed4ead24523bb4a73853655d4a21ac2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Maine as the answer to the prompt's question: 'Of the states with bachelor\u2019s degree concentrations in healthcare and occupations in education, which had the lowest 2020 unemployment rate?'. It also provides supporting details for Maine, even though it notes a discrepancy with the Data USA dates.\",\n \"Correctness Details\": {\n \"Maine\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1146, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 116, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.147} {"qid": "dsfull-402", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a0c056a3e9c357ba31049703aad30c8eb63cbf430d531cab14b1b48981271d11", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Tyco and Waddingtons from the provided correct answer. However, it failed to identify Bandai as one of the companies and included 'Toy Options Limited' as an excessive answer.\",\n \"Correctness Details\": {\n \"Tyco\": true,\n \"Waddingtons\": true,\n \"Bandai\": false\n },\n \"Excessive Answers\": [\n \"Toy Options Limited\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1154, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 120, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 1, "precision": 0.6666666666666666, "recall": 0.6666666666666666, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.534} {"qid": "dsfull-403", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c6a55bc7b75eb24443f01558a0d796dbfacbad02fa2161856f43c8d7bd25ec31", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all five states listed in the correct answer (Wyoming, Utah, Alaska, Arkansas, West Virginia) and provides them in a table format with supporting data, followed by a 'Final Answer' restating these states. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Wyoming\": true,\n \"Utah\": true,\n \"Alaska\": true,\n \"West Virginia\": true,\n \"Arkansas\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1090, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 135, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.457} {"qid": "dsfull-405", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2a5626ecd9eeac89d5a0926b42fafdc7935169f5e723822ad11f2c8e3ca1352a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Obama 2009' and 'Obama 2013' but also included 'Clinton 1997' which is not in the correct answer.\",\n \"Correctness Details\": {\n \"Obama 2009\": true,\n \"Obama 2013\": true\n },\n \"Excessive Answers\": [\n \"Clinton 1997\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1172, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 121, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 0, "precision": 0.6666666666666666, "recall": 1.0, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.117} {"qid": "dsfull-406", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d188d86b7e5ac09f2dfd64e10ef787fcff42ef0a8accad32ecdec6a2318dfa97", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all seven states listed in the correct answer that had an age-adjusted death rate above 190 per 100,000 total population between 2008 and 2010. It also provides a table confirming these values from the CDC data.\",\n \"Correctness Details\": {\n \"Alabama\": true,\n \"Arkansas\": true,\n \"Kentucky\": true,\n \"Louisiana\": true,\n \"Mississippi\": true,\n \"Tennessee\": true,\n \"West Virginia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1147, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 156, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 7, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.134} {"qid": "dsfull-409", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c00207637743dd66c72544d10d8708c30258b568f71484a6aa3caa111b73040b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Belgium' as the country, which matches the provided correct answer. It also provides supporting information about Belgium's salary exceeding the cutoff and explicitly states 'Final Answer: Belgium'.\",\n \"Correctness Details\": {\n \"Belgium\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 948, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 92, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.012} {"qid": "dsfull-407", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "cb0f78b24145bfb90b4282d0bb8e71ac9c719946fa8420e56a96b1ffca923792", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Vermont' as the state with the lowest death rate for COVID-19, which aligns with the correct answer. The AI also explicitly stated that it could not independently verify the influenza/pneumonia ranking, which is acceptable since the core part of the question was answered.\",\n \"Correctness Details\": {\n \"Vermont\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 922, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 110, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.143} {"qid": "dsfull-410", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "eec44446961019f8b4d5d8ee4ce772e347856c6cbe825081dd1e518b0382b7f5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the years (2019, 2021, 2023) that had a cumulative count higher than 1.8 million, as specified in the correct answer.\",\n \"Correctness Details\": {\n \"2019\": true,\n \"2021\": true,\n \"2023\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1142, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 119, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.122} {"qid": "dsfull-408", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9012ec4dd39610781a644c43bafe7237d664f9dab3644314ac67fddabffcebce", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies that Republican vote share increased in all 10 counties and that no counties saw an increase in Democratic vote share, aligning perfectly with the correct answer.\",\n \"Correctness Details\": {\n \"Republican vote share increase: Belknap\": true,\n \"Republican vote share increase: Carroll\": true,\n \"Republican vote share increase: Cheshire\": true,\n \"Republican vote share increase: Coos\": true,\n \"Republican vote share increase: Grafton\": true,\n \"Republican vote share increase: Hillsborough\": true,\n \"Republican vote share increase: Merrimack\": true,\n \"Republican vote share increase: Rockingham\": true,\n \"Republican vote share increase: Strafford\": true,\n \"Republican vote share increase: Sullivan\": true,\n \"Democrat vote share increase: None\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1073, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 219, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 11, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.696} {"qid": "dsfull-411", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ed58d58e9fa3ba5d29a6bfdd9fd386062fe71b54193a72142d9e4738ecebacc5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Napa County as having the greatest percentage of public school students eligible for free or reduced-price lunch for the school year 2022-2023, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Napa County\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 997, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 97, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.288} {"qid": "dsfull-414", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "95dc8374f1c0d4b9f4e85a0a983ed58dd5d32145cc8cc20e622265c9f5afdd08", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Cornix Canor' as the boss to defeat, which directly answers the user's question.\",\n \"Correctness Details\": {\n \"Cornix Canor\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 950, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 79, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.838} {"qid": "dsfull-412", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c1217d59992edcfa606252765cc41aa802f5c4750c589a43b530c5c158aed243", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all 15 states that meet both criteria, matching the provided correct answer set exactly. There are no excessive or missing answers.\",\n \"Correctness Details\": {\n \"Arizona\": true,\n \"Colorado\": true,\n \"Georgia\": true,\n \"Illinois\": true,\n \"Maryland\": true,\n \"Massachusetts\": true,\n \"Michigan\": true,\n \"New Jersey\": true,\n \"New York\": true,\n \"North Carolina\": true,\n \"Ohio\": true,\n \"Oregon\": true,\n \"Pennsylvania\": true,\n \"Virginia\": true,\n \"Washington\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1031, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 182, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 15, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.591} {"qid": "dsfull-417", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5904c39501969b840162c7823e8bb500db68972f9720c051ea680ada1a28716d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Squid' as the band, which matches the single correct answer provided.\",\n \"Correctness Details\": {\n \"Squid\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 955, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 72, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.85} {"qid": "dsfull-413", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f691c15f7fc322c282c2d91b0fdcb8b1b9608133de348c2496541ff25914a04a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the four earthquakes by magnitude and city. However, there are discrepancies in the dates and the exact magnitudes compared to the provided correct answer. Specifically, the correct answer lists May 15th for Blue Lake and May 1st for Ocotillo Wells, while the AI lists May 14th and May 20th respectively. Also, the correct answer has Ocotillo Wells as 4.1 and Corona as 4.1, but the AI has Ocotillo Wells as 4.05 and Corona as 4.11.\",\n \"Correctness Details\": {\n \"May 18th, 2024, 3.9, Brawley\": true,\n \"May 15th, 2024, 4.0, Blue Lake\": false,\n \"May 20th, 2024, 4.1, Corona\": false,\n \"May 1st, 2024, 4.1, Ocotillo Wells\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1200, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 264, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 3, "precision": 1.0, "recall": 0.25, "f1": 0.4, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.04} {"qid": "dsfull-415", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c260216343a67244528a96505fa13342d31ceaf37c00646a670d0ef8d7edfcb6", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the number of defeated bills for the 37th, 38th, and 41st Parliaments. However, it provides '10 bills' for the 36th Parliament instead of '9 bills', and '17 bills' for the 40th Parliament instead of '18 bills'.\",\n \"Correctness Details\": {\n \"36th Parliament- 9 bills\": false,\n \"37th Parliament-22 bills\": true,\n \"38th Parliament-13 bills\": true,\n \"40th Parliament-18 bills\": false,\n \"41st Parliament-54 bills\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1243, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 187, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 2, "precision": 1.0, "recall": 0.6, "f1": 0.7499999999999999, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.434} {"qid": "dsfull-418", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e32358b64da886c65653a102d75e1aa6feeb1f6e816500a089328600ea351ebc", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Canada as the country with the smallest increase in the percentage of the population living in urban areas from 2015 to 2020, matching the correct answer.\",\n \"Correctness Details\": {\n \"Canada\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 948, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 91, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.037} {"qid": "dsfull-419", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5b40947e623faa0b590516823817daa8ec39789425a93da45e655ee8389e5fda", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Canada as the country with the highest economic indicator value, which matches the provided correct answer. The response also provides a clear table with the calculations for each country, supporting its conclusion.\",\n \"Correctness Details\": {\n \"Canada\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1139, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 91, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.044} {"qid": "dsfull-420", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c10e85133032dc64bc3915d02d23d8d030bcf6db47573448a146c1ec56ef5d90", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identified UCL and London School of Economics and Political Science but also includes excessive answers: University of Oxford, University of Cambridge, and University of Edinburgh.\",\n \"Correctness Details\": {\n \"University College London\": true,\n \"London School of Economics and Political Science\": true\n },\n \"Excessive Answers\": [\n \"University of Oxford\",\n \"University of Cambridge\",\n \"University of Edinburgh\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1068, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 121, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 3, "false_negatives": 0, "precision": 0.4, "recall": 1.0, "f1": 0.5714285714285715, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.201} {"qid": "dsfull-421", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4fcb02fc911f1dd9b6d3a582495c365aed1ef6f28114946e7389ddb48507b953", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the individuals and their bikes as listed in the correct answer. The bike for Adam Frasca is slightly abbreviated in the AI's response (Yamaha Super T\u00e9n\u00e9r\u00e9 vs. Yamaha Super T\u00e9n\u00e9r\u00e9 XT1200Z), but it is functionally the same bike. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Ross \u201cBeau\u201d Earnest - 2008 Yamaha FJR1300\": true,\n \"Alex Jones - 2014 Yamaha FJR1300\": true,\n \"Calvin Cote - 2012 BMW K1600 GTL\": true,\n \"Adam Frasca - 2014 Yamaha Super T\u00e9n\u00e9r\u00e9 XT1200Z\": true,\n \"Carl Reese - 2015 BMW K 1600 GT\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1154, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 228, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.636} {"qid": "dsfull-416", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c7d4e69b5a5b1b12347135bd2c1610c323d29f86d3168c2d5e4877135500a2fd", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identified four of the five property ID numbers. However, it incorrectly listed '82003211' instead of '81000382' and the provided answer has 82003210 twice. The correct answer has 82003210, but the AI provided 82003211. The AI response also included an additional ID '82003211' which is not in the correct answer set. The response is missing the ID '81000382'.\",\n \"Correctness Details\": {\n \"04000935\": true,\n \"86000587\": true,\n \"83001107\": true,\n \"82003210\": true,\n \"81000382\": false\n },\n \"Excessive Answers\": [\n \"82003211\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1116, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 255, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 1, "false_negatives": 1, "precision": 0.8, "recall": 0.8, "f1": 0.8000000000000002, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.922} {"qid": "dsfull-423", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "18eb337fcdab7d8e5d5326352b8815a7bc6ceb0a1ee93313a59901f7e218ac51", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Amphastar Pharmaceuticals, Inc.' as having the largest operating margin, which matches the correct answer. It also provides supporting data and calculations.\",\n \"Correctness Details\": {\n \"Amphastar Pharmaceuticals, Inc.\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1113, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 90, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.999} {"qid": "dsfull-424", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7ba7d9bf8c6f3847baecd6743954fd9dd89716e0801dfc54a5e36e93ee1a51f8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all six schools that meet the criteria, matching the provided correct answer set.\",\n \"Correctness Details\": {\n \"Sydney Grammar High School\": true,\n \"Sydney Girls High School\": true,\n \"Baulkham Hills High School\": true,\n \"Sydney Boys High School\": true,\n \"Hornsby Girls High School\": true,\n \"Reddam House\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1196, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 126, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.028} {"qid": "dsfull-426", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ce2bc54a4aed3589dbc1e5a6615a5555de11be68aa0cf432ea6ad8bb75eda464", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified '2010' as the year with the least earthquakes magnitude 4.5 or higher, which matches the provided correct answer.\",\n \"Correctness Details\": {\n \"2010\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 892, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 86, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.985} {"qid": "dsfull-427", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "804f3ee9f5ff299215638418ed5ba326191cd2e103825382c573f0769191740a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Queensland as the state with the smallest decrease in the proportion of median weekly rent to median weekly household income from 2016 to 2021, matching the single correct answer.\",\n \"Correctness Details\": {\n \"Queensland\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1079, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 94, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.933} {"qid": "dsfull-428", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f6109d715eb8054e4728ebc7dd48add4019c5fd3082e09b6728f5d0e0882f98d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Slovakia as the country that meets all the specified conditions.\",\n \"Correctness Details\": {\n \"Slovakia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1099, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 67, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.945} {"qid": "dsfull-425", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3b181d634aafb2a37a92275502948d5efc7919dc212f175ddf9e32726b391665", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response failed to provide any of the correct mission numbers. Instead, it provided an entirely different set of missions, none of which are in the correct answer set. Therefore, all expected correct answers are marked as false, and the response's answers are listed as excessive.\",\n \"Correctness Details\": {\n \"STS-49\": false,\n \"STS-59\": false,\n \"STS-68\": false,\n \"STS-67\": false,\n \"STS-100\": false,\n \"STS-111\": false,\n \"STS-126\": false\n },\n \"Excessive Answers\": [\n \"STS-51J\",\n \"STS-61B\",\n \"STS-27\",\n \"STS-30\",\n \"STS-34\",\n \"STS-36\",\n \"STS-37\",\n \"STS-44\",\n \"STS-66\",\n \"STS-76\",\n \"STS-98\",\n \"STS-117\",\n \"STS-125\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1106, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 283, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 13, "false_negatives": 7, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.925} {"qid": "dsfull-430", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4ffeda69c7c3cd3230275ca90b1f493ef4c0d07e2303e8a5c469a5faa07f94a8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three countries listed in the correct answer: United States, China, and Japan. There are no excessive answers provided.\",\n \"Correctness Details\": {\n \"United States\": true,\n \"China\": true,\n \"Japan\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1082, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 94, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.948} {"qid": "dsfull-422", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3efecd57c6fdbab30db42c256199064f636fc5916dd465371fdf0dd49e8e3198", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies the assessors. The correct assessors are Linzey, A.V., Timm, R., \u00c1lvarez-Casta\u00f1eda, S.T., Castro-Arellano, I. & Lacher, T. The AI response only partially matches one of the assessors (I. Castro-Arellano) and includes an incorrect assessor (S. Berton).\",\n \"Correctness Details\": {\n \"Linzey, A.V.\": false,\n \"Timm, R.\": false,\n \"\u00c1lvarez-Casta\u00f1eda, S.T.\": false,\n \"Castro-Arellano, I.\": true,\n \"Lacher, T.\": false\n },\n \"Excessive Answers\": [\n \"S. Berton\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 903, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 201, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 1, "false_negatives": 4, "precision": 0.5, "recall": 0.2, "f1": 0.28571428571428575, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 3.22} {"qid": "dsfull-429", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "03185f57278359734325550a8c75769d55ae2026be5e1e2d5270622dd0d39fda", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the athletes in the correct answer: David Wright, Ryan Howard, Adri\u00e1n Gonz\u00e1lez, Yasiel Puig, and Ken Griffey Jr. However, it also included Jackie Robinson as an excessive answer, as Jackie Robinson was not listed in the correct answer.\",\n \"Correctness Details\": {\n \"David Wright\": true,\n \"Ryan Howard\": true,\n \"Adri\u00e1n Gonz\u00e1lez\": true,\n \"Yasiel Puig\": true,\n \"Ken Griffey Jr.\": true\n },\n \"Excessive Answers\": [\n \"Jackie Robinson\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1231, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 152, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 1, "false_negatives": 0, "precision": 0.8333333333333334, "recall": 1.0, "f1": 0.9090909090909091, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.203} {"qid": "dsfull-431", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "765abdbf827769dd48954baa7abcfde322ccd8a3ae8f263dc404d76db9e40c5a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both 'Red-faced Cormorant' and 'Whiskered Auklet' as birds on both lists, matching the correct answer.\",\n \"Correctness Details\": {\n \"Red-faced Cormorant\": true,\n \"Whiskered Auklet\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1042, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 97, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.268} {"qid": "dsfull-432", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1566e5ddd433543aed5a72b63454586bb74c563b934fa59a26b1d1d5b0d38c97", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Xenopus gilli' and 'Xenopus longipes'. However, it missed 'Xenopus lenduensis' and 'Xenopus itombwensis' from the correct answer. Additionally, it included 'Xenopus largeni' as an excessive answer.\",\n \"Correctness Details\": {\n \"Xenopus lenduensis\": false,\n \"Xenopus gilli\": true,\n \"Xenopus longipes\": true,\n \"Xenopus itombwensis\": false\n },\n \"Excessive Answers\": [\n \"Xenopus largeni\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1226, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 165, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 2, "precision": 0.6666666666666666, "recall": 0.5, "f1": 0.5714285714285715, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.359} {"qid": "dsfull-435", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6b0a8decbda6db24932cef82a47998d75cd2c3da0c78b8b3107061f0feb04741", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all five companies and their corresponding rankings as listed in the correct answer. The format and content align perfectly with the expected output.\",\n \"Correctness Details\": {\n \"Blue Hammer Roofing #13\": true,\n \"Archer Review #85\": true,\n \"Advantis Medical Staffing #110\": true,\n \"Maveneer #144\": true,\n \"Ashland Greene #145\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1240, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 138, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.313} {"qid": "dsfull-434", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9292cfb4b036aad55d206bd2b99bed88068c1c511b2997c92e7d5169bce86ea3", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all five features mentioned in the correct answer: Bront\u00eb, Shakespeare, Swift, Voltaire, and Lucian. The response also provides additional context and links to the USGS planetary names database, which is helpful.\",\n \"Correctness Details\": {\n \"Bront\u00eb (lunar crater, earth's moon)\": true,\n \"Shakespeare (lunar crater, earth's moon)\": true,\n \"Swift (crater, mars' moon deimos)\": true,\n \"Voltaire (crater, mars' moon deimos)\": true,\n \"Lucian (crater, earth's moon)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1289, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 178, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.521} {"qid": "dsfull-433", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4bbc03d38bfe2a79977ef9fdbee19f77ababee5ea8c5f448ce98675fa40b5b2c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies most of the years (1997, 1998, 1999, 2006, 2007, 2008, 2009, 2010, 2011, 2012). However, it missed the year 2000 from the correct answer.\",\n \"Correctness Details\": {\n \"1997\": true,\n \"1998\": true,\n \"1999\": true,\n \"2000\": false,\n \"2006\": true,\n \"2007\": true,\n \"2008\": true,\n \"2009\": true,\n \"2010\": true,\n \"2011\": true,\n \"2012\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 974, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 238, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 10, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.9090909090909091, "f1": 0.9523809523809523, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.672} {"qid": "dsfull-436", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "55bc489392cff6488f557392f24321aa8547a60aa0f6bab084323a8209c51294", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the subjects that saw an increase in the percentage of acceptances of students from Maintained schools between the specified periods. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Anglo-Saxon, Norse, & Celtic\": true,\n \"Archaeology\": true,\n \"Economics\": true,\n \"History\": true,\n \"History of Art\": true,\n \"Land Economy\": true,\n \"Theology, Religion & Philosophy of Religion\": true,\n \"Computer Science\": true,\n \"Natural Sciences\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1407, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 161, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 9, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.413} {"qid": "dsfull-437", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "aeea959a71ff5f04953d7d07161035eb65ea5e51985b35790a22f0c23f01aecb", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three electoral districts for each respective election as specified in the correct answer.\",\n \"Correctness Details\": {\n \"St. John's East\": true,\n \"Bonavista\u2013Trinity\u2013Conception\": true,\n \"Avalon\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1088, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 97, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.115} {"qid": "dsfull-440", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "da7e253ef6a6dde7f31bd49de551367fceb7f65077b27b811dafba8b182208bc", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four countries from the correct answer: Finland, Denmark, Luxembourg, and Sweden. It also provides supporting data and sources.\",\n \"Correctness Details\": {\n \"Finland\": true,\n \"Denmark\": true,\n \"Sweden\": true,\n \"Luxembourg\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1095, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 102, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.096} {"qid": "dsfull-441", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3c3b871d06d1ac6628acaa4681a1e2f13a3e7bf7da8d3b3562b1f27ef32aa7dd", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified British Columbia. However, it incorrectly included Manitoba and missed Alberta, which was part of the correct answer.\",\n \"Correctness Details\": {\n \"Alberta\": false,\n \"British Columbia\": true\n },\n \"Excessive Answers\": [\n \"Manitoba\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 898, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 94, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 1, "false_negatives": 1, "precision": 0.5, "recall": 0.5, "f1": 0.5, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.162} {"qid": "dsfull-442", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2ea8caf74bd4baefbcf4506d34d871f94c3a07cadea55f6ac043a3ef3b004950", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the 2023 Honda CR-V as having the lowest horsepower-to-volume ratio, which matches the correct answer. The AI also provides a table with the data and calculations to support its conclusion.\",\n \"Correctness Details\": {\n \"2023 Honda CR-V\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1140, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 105, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.117} {"qid": "dsfull-438", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4ab55f10be948f3a01fe8ebe2877f4d75b93d0e06785fa3c027a1591a65d67b0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all 10 designated uses for surface waters in Connecticut and accurately specifies which of these uses are applicable to Class SA or SB waters, matching the provided correct answer. The AI also provides the correct count of 7 uses that apply to Class SA or SB.\",\n \"Correctness Details\": {\n \"Recreation\": true,\n \"Habitat for fish and other aquatic life and wildlife.\": true,\n \"Fish consumption\": true,\n \"Shellfish harvesting for direct human consumption where authorized.\": true,\n \"Commercial shellfish harvesting where authorized\": true,\n \"Existing or proposed drinking water supplies.\": true,\n \"Potential drinking water supplies.\": true,\n \"Navigation\": true,\n \"Water supply for industry.\": true,\n \"Agriculture\": true,\n \"Items that are Class SA or SB: Recreation\": true,\n \"Items that are Class SA or SB: Habitat for fish and other aquatic life and wildlife\": true,\n \"Items that are Class SA or SB: Fish consumption\": true,\n \"Items that are Class SA or SB: Shellfish harvesting for direct human consumption\": true,\n \"Items that are Class SA or SB: Commercial shellfish harvesting where authorized\": true,\n \"Items that are Class SA or SB: Navigation\": true,\n \"Items that are Class SA or SB: Water supply for industry\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1356, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 335, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 17, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.146} {"qid": "dsfull-443", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "fbd71ee07c390fe3a9bcc8f889d45e90b2598a3d7ed5c3710109d5bb26b1e2d9", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the states listed in the correct answer. The AI also notes that it could not fully verify the traffic fatality condition, but it still provides the correct list of states.\",\n \"Correctness Details\": {\n \"Hawaii\": true,\n \"Idaho\": true,\n \"Maine\": true,\n \"Montana\": true,\n \"Nebraska\": true,\n \"New Hampshire\": true,\n \"Rhode Island\": true,\n \"West Virginia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1026, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 143, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 8, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.312} {"qid": "dsfull-444", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "146f7434fc5bda9122c100a3a97d39a92fd4a67d16c4bdcde8d80477b9263a8d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Laridae' as the taxonomic family with the most species having Antarctic breeding populations, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Laridae\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 912, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 79, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.058} {"qid": "dsfull-439", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b17b6570a39a6ee02fc4781a80790258e654d150a1158c01c5a0fe8a4dc4b772", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the constituencies that met the criteria, including those that changed hands and those that were held. The formatting for each constituency was also correct.\",\n \"Correctness Details\": {\n \"Bury North (Conservative Gain, Labour Second)\": true,\n \"Kensington (Conservative Gain, Labour Second)\": true,\n \"Bury South (Conservative Gain, Labour Second)\": true,\n \"Bolton North East (Conservative Gain, Labour Second)\": true,\n \"High Peak (Conservative Gain, Labour Second)\": true,\n \"Carshalton and Wallington (Conservative Gain, Liberal Democrats Second)\": true,\n \"Gedling (Conservative Gain, Labour Second)\": true,\n \"Heywood and Middleton (Conservative Gain, Labour Second)\": true,\n \"Blyth Valley (Conservative Gain, Labour Second)\": true,\n \"Stoke-On-Trent Central (Conservative Gain, Labour Second)\": true,\n \"Bedford (Labour Hold, Conservatives Second)\": true,\n \"Coventry North West (Labour Hold, Conservatives Second)\": true,\n \"Dagenham and Rainham (Labour Hold, Conservatives Second)\": true,\n \"Coventry South (Labour Hold, Conservatives Second)\": true,\n \"Weaver Vale (Labour Hold, Conservatives Second)\": true,\n \"Wimbledon (Conservatives Hold, Liberal Democrats Second)\": true,\n \"Sheffield, Hallam (Labour Hold, Liberal Democrats Second)\": true,\n \"Warwick and Leamington (Labour Hold, Conservatives Second)\": true,\n \"Cheltenham (Conservatives Hold, Liberal Democrats Second)\": true,\n \"Winchester (Conservatives Hold, Liberal Democrats Second)\": true,\n \"Wansbeck (Labour Hold, Conservatives Second)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1549, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 432, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 21, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.809} {"qid": "dsfull-445", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "aacf147c5c3c55316cd3fba3ce18c5630e32e2e5e89282d17b4ca0bd4c2c7cba", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Hasbro as having the highest debt-to-capital ratio, which matches the correct answer. It also provides supporting details and calculations.\",\n \"Correctness Details\": {\n \"Hasbro, Inc.\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1040, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 85, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.128} {"qid": "dsfull-446", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "10f7d6d82e3713f5f64dc90c22983dd82744a2f142abb2c7e93a72d69af9043a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Skipjack Tuna and Yellowfin Tuna as the fish that Albacore form mixed schools with, and correctly excludes Bluefin Tuna based on the lifespan criteria. All items from the correct answer are present and no excessive answers are included.\",\n \"Correctness Details\": {\n \"Skipjack Tuna\": true,\n \"Yellowfin Tuna\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 984, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 112, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.182} {"qid": "dsfull-447", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7131d1cce66e64a573ce9422458e6a920c99624810d410194376f9ab0963a693", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'United Kingdom' as the country with the greatest difference in child mortality rate compared to the European average in 1969, which matches the correct answer.\",\n \"Correctness Details\": {\n \"United Kingdom\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 930, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 89, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.865} {"qid": "dsfull-449", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "fe745989e72d384df0f5f7d0372b24fc70d3452591e51af414346dce1ba2d280", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Other Funds' as the source of operating funds with the biggest difference in expenditure when comparing 2015 with 2017, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Other Funds\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 979, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 92, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.007} {"qid": "dsfull-450", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "567cd9c2c46194df8e9ec734e5c104a8a6e9dc8909a198aeedc8b5499d060aac", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the 'Yorkshire Terrier' as having the biggest percentage increase in registrations, which matches the correct answer. The response also provides a table with data and calculations to support its answer.\",\n \"Correctness Details\": {\n \"Yorkshire Terrier\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1149, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 93, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.002} {"qid": "dsfull-451", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7b72e8db7f5283f32dcedfab96ae4445538b19da4cf103877b02f4526972ef83", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three species listed in the correct answer and provides them by their scientific names, as requested. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Palaemonias ganteri\": true,\n \"Peromyscus gossypinus allapaticola\": true,\n \"Neotoma floridana smalli\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1048, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 116, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.948} {"qid": "dsfull-448", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ef4949df599f8139102007ba14025c80966c01daabd20d28429e30d0e6c4911b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified St Mary's School, Cambridge, which is the only school that meets all the criteria specified in the prompt. The AI also provided a detailed breakdown of how the school meets each criterion, including inspection ratings, Mandarin availability, and distance. The AI correctly highlighted the provisional nature of some of the information, which is a good practice.\",\n \"Correctness Details\": {\n \"St Mary's School, Cambridge\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1087, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 128, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.563} {"qid": "dsfull-453", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "23c621625a607b67fc104cda3016b290d4a034b5a6886ce74ab25a8213767855", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Estonia and Finland, which are both part of the correct answer. However, it incorrectly included Iceland and missed Australia.\",\n \"Correctness Details\": {\n \"Australia\": false,\n \"Estonia\": true,\n \"Finland\": true\n },\n \"Excessive Answers\": [\n \"Iceland\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 960, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 102, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 1, "precision": 0.6666666666666666, "recall": 0.6666666666666666, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.177} {"qid": "dsfull-454", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f5eaae7792cbc6508af9bd613a5ccb899779bc10a542e7e9c98c477e39992521", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three crew members listed in the correct answer: Kalpana Chawla, Michael P. Anderson, and Rick D. Husband. It also presents them in the requested alphabetical order by first name. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Kalpana Chawla\": true,\n \"Michael P. Anderson\": true,\n \"Rick D. Husband\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1006, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 125, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.056} {"qid": "dsfull-455", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "96355dae0eb6fc685f4269543d469d7364c43bdcc01393a99ed56f87a3f6f567", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Silk' as the fiber that most consistently shows an increase in its proportion of apparel imports, which matches the provided correct answer.\",\n \"Correctness Details\": {\n \"Silk\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 880, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 81, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.963} {"qid": "dsfull-452", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d42366a453813571ba3248d9f225e45b67a66035062a8ffd7be03bab9555f68e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response explicitly states that it is unable to retrieve the necessary data to answer the prompt, therefore it does not provide any of the correct answers.\",\n \"Correctness Details\": {\n \"Pacific sandlance (Ammodytes personatus)\": false,\n \"Japanese Scad (Decapterus maruadsi)\": false,\n \"Japanese anchovy (Engraulis japonicus)\": false,\n \"Deepwater longtail red snapper (Etelis coruscans)\": false,\n \"Alaska pollack (Gadus chalcogrammus)\": false,\n \"Pacific cod (Gadus macrocephalus)\": false,\n \"Red seabream (Pagrus major)\": false,\n \"Ayu sweetfish (Plecoglossus altivelis)\": false,\n \"Chub mackerel (Scomber japonicus)\": false,\n \"Japanese amberjack (Seriola quinqueradiata)\": false,\n \"Japanese pufferfish (Takifugu rubripes)\": false,\n \"Yellowfin tuna (Thunnus albacares)\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1047, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 270, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 12, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 2.18} {"qid": "dsfull-456", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5b7e0a1f5656adf00695ddfab39e6bc5c5a9a81dbbc1b3a03040d94c3648bc6d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response provided 'Phallus drewesii' as the answer, which is incorrect. The correct answer is 'Giant Pseudoscorpion (Garypus titanius)'. The AI failed to identify the correct species based on the given criteria.\",\n \"Correctness Details\": {\n \"Giant Pseudoscorpion (Garypus titanius)\": false\n },\n \"Excessive Answers\": [\n \"Phallus drewesii\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 927, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 126, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.412} {"qid": "dsfull-457", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "87f13432ddf3342371895ea2bea641f506e20b92eb3339de3a8e6bd933c4f128", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Japan as the country with the largest loss in individuals from 2019 to 2020 among the top 10 countries by total population in 2019, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Japan\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 925, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 100, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.114} {"qid": "dsfull-459", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "da4e358ac61addbb8e02b15ca000a6e3d57ccc60268f127c336a1f195babfcd3", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies that the 2023-2024 team had the greater combined height, matching the correct answer.\",\n \"Correctness Details\": {\n \"The 2023-2024 Lehman College basketball team had the larger combined height for the tallest two players.\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1019, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 104, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.079} {"qid": "dsfull-458", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6bbc7d6b2f9b496cbdb09f7354782eaad41d27b091dafb08dfa2624d64b618a4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all nine butterfly species that met the criteria of having at least a 20% change in both 2015 and 2017.\",\n \"Correctness Details\": {\n \"Red Admiral\": true,\n \"Comma\": true,\n \"Painted Lady\": true,\n \"Large White\": true,\n \"Ringlet\": true,\n \"Green-veined White\": true,\n \"Large Skipper\": true,\n \"Marbled White\": true,\n \"Small Copper\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1208, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 155, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 9, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.283} {"qid": "dsfull-460", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f253f84b4cc3b9f742de999af7a308ebbeb372b0e79fdce3bf8b5ab142043778", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified John McNally from Falkirk as the MP who met all the specified conditions in the prompt. The response also provides a table with relevant data for each election year, which supports the answer.\",\n \"Correctness Details\": {\n \"John McNally (Falkirk)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1112, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 100, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.16} {"qid": "dsfull-461", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7ac214eb20eb00fe15ec6e24b889d1602da8e5e8629b15424affd8ecebee274e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the regions that had a population increase of 25% or more between 2000 and 2020: Africa, Asia, and Oceania. It also provides a table with the population data and calculations to support its answer, which is helpful.\",\n \"Correctness Details\": {\n \"Africa\": true,\n \"Asia\": true,\n \"Oceania\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1274, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 125, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.234} {"qid": "dsfull-463", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b21fb35561ff9a3a224db203387b23544f2737a4092da42a4b77a1dcf4326119", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies Enphase Energy as having the lowest effective income tax rate. The correct answer is First Solar, Inc.\",\n \"Correctness Details\": {\n \"First Solar, Inc.\": false\n },\n \"Excessive Answers\": [\n \"Enphase Energy\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 860, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 90, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.111} {"qid": "dsfull-464", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4fe3de2936c7c6219f5fe4540c1804be20340db7dd60dbf434aa7966a4ae33f9", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four universities from the correct answer: Columbia University, New York University, University of California San Diego, and Georgia Institute of Technology. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Columbia University\": true,\n \"New York University\": true,\n \"University of California San Diego\": true,\n \"Georgia Institute of Technology\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 972, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 119, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.069} {"qid": "dsfull-462", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1b0a5d3677b317f3d2f4fbc3a245128d2779d13a49ca87cb7fb7a7ef15904505", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the states that had male life expectancy rates lower than the total world average for in 2020, and also had heart disease mortality rates higher than 191.5 and COVID-19 mortality rates higher than 106.2 in 2021. The list is also provided alphabetically, as requested.\",\n \"Correctness Details\": {\n \"Alabama\": true,\n \"Arkansas\": true,\n \"Kentucky\": true,\n \"Louisiana\": true,\n \"Mississippi\": true,\n \"Oklahoma\": true,\n \"Tennessee\": true,\n \"West Virginia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1113, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 175, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 8, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.5} {"qid": "dsfull-465", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a3d0876c3eb15d40e184357f54a658aee316a2bbc8dc05a6aa801f21dbfe33ff", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the specific rule number, 20 CSR 2220-2.010(2)(A), which matches the correct answer.\",\n \"Correctness Details\": {\n \"20 CSR 2220-2.010(2)(A)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 955, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 104, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.967} {"qid": "dsfull-466", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4565086a0265fb83812d760ea206157e43a75bb14505a165207dc60b770a0271", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies the University of Kentucky Art Museum as the westernmost museum. The correct answer is the San Francisco Museum of Modern Art.\",\n \"Correctness Details\": {\n \"San Francisco Museum of Modern Art (SF MOMA)\": false\n },\n \"Excessive Answers\": [\n \"University of Kentucky Art Museum in Lexington, Kentucky\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 951, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 105, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.064} {"qid": "dsfull-467", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "302190de16e1debf5d319ac6a505aedf2bb1988bb443fee097b887cd15446f87", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three species mentioned in the correct answer: Basking Shark, Thresher Shark, and Shortfin Mako. It also provides the scientific names which are not listed in the correct answer, but they are not considered excessive as they are directly linked to the correct answer.\",\n \"Correctness Details\": {\n \"Basking Shark\": true,\n \"Thresher\": true,\n \"Shortfin Mako\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 991, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 129, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.047} {"qid": "dsfull-468", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6a0206cdc3eddd4b478d2ddf7922777554246f4a1167a74b7314c45ed2fa12c9", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all 13 states listed in the correct answer. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Alabama\": true,\n \"Arkansas\": true,\n \"Indiana\": true,\n \"Kansas\": true,\n \"Kentucky\": true,\n \"Louisiana\": true,\n \"Mississippi\": true,\n \"Missouri\": true,\n \"Oklahoma\": true,\n \"South Carolina\": true,\n \"Tennessee\": true,\n \"Utah\": true,\n \"West Virginia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1000, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 158, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 13, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.338} {"qid": "dsfull-469", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c5f25ddd2e1e218a3d81dd2881492e5cb72c95b108454a20d220ac1d74719ef7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly extracts all the requested information from the provided document. All industry groups, the number of facilitators, the quoted individuals, and the first year as a registered charity are accurately stated.\",\n \"Correctness Details\": {\n \"First responders (fire, police, paramedics, corrections staff), Post-secondary students, Health care, Legal, Oral health care, Sports.\": true,\n \"More than 1,500\": true,\n \"Wesley Jones, Tina Brown, Tyler Colbourne\": true,\n \"2022\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1204, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 153, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.495} {"qid": "dsfull-470", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c88791d732906e9b8fe6a40f70542ccbf5ea0c16fc3a055f5e08a33c88e4f65d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all nine species of Desis spiders that are native to a single country or territory, along with their respective locations. All items from the correct answer are present in the AI's response.\",\n \"Correctness Details\": {\n \"Desis bobmarleyi - Endemic to Australia (specifically Queensland)\": true,\n \"Desis galapagoensis - Endemic to the Galapagos Islands (Ecuador)\": true,\n \"Desis gardineri - Endemic to the Laccadive Islands (India)\": true,\n \"Desis inermis - Endemic to India\": true,\n \"Desis japonica - Endemic to Japan\": true,\n \"Desis jiaxiangi - Endemic to China\": true,\n \"Desis kenyonae - Endemic to Australia (specifically Victoria and Tasmania)\": true,\n \"Desis vorax - Endemic to Samoa\": true,\n \"Desis risbeci - Endemic to New Caledonia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1105, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 254, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 9, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.832} {"qid": "dsfull-473", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f41dd010f63a53e2071bafcb6cc9740311fe3dc7eeef73afe34957773b3f7a85", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly states 'Illinois' as the answer, which does not match the correct answer 'Hawaii'.\",\n \"Correctness Details\": {\n \"Hawaii\": false\n },\n \"Excessive Answers\": [\n \"Illinois\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 858, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 81, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 0.758} {"qid": "dsfull-472", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9032cb6fa842a2f4e00ae6c9371ad8f64127a7a38e513ed334bf95b42db3f0ce", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'University of Massachusetts Amherst' as the answer, which matches the provided correct answer. The additional context regarding in-state vs. non-resident rates is helpful but does not detract from the correctness of the primary answer.\",\n \"Correctness Details\": {\n \"University of Massachusetts Amherst\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1050, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 102, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.096} {"qid": "dsfull-471", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2da63e0cff3190933fcdae704a63ec761669c017be52762fe39f4f90930d6dec", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies Iceland as the country with the highest CO2 emissions per capita. The correct answer, after applying all the filters, should be Czechia (or Czech Republic). The AI failed to correctly filter the countries and identify the one with the highest CO2 emissions.\",\n \"Correctness Details\": {\n \"Czechia (or Czech Republic)\": false\n },\n \"Excessive Answers\": [\n \"Iceland\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1003, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 120, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.72} {"qid": "dsfull-475", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5d6ed5dbe4314f960e8f4272d69afbf9a577b56e7056581a11fe299e3d2ae4b0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'The Open University' which is the correct answer.\",\n \"Correctness Details\": {\n \"The Open University\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 879, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 68, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.869} {"qid": "dsfull-478", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f285a065d761ec80201f913f804bbd90c7cffa75cbf709e53144aed52c92c868", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Mauritius as the country that meets the specified criteria.\",\n \"Correctness Details\": {\n \"Mauritius\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1077, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 66, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.877} {"qid": "dsfull-474", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "761fbbc3e211cd2b530237cba5671d5ae07758a349c7c0020395ebeaca801ddd", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the years listed in the correct answer that had a federal election voter turnout rate of or over 75% in the 20th century, excluding referendums. There are no excessive answers provided.\",\n \"Correctness Details\": {\n \"1917\": true,\n \"1945\": true,\n \"1958\": true,\n \"1962\": true,\n \"1963\": true,\n \"1968\": true,\n \"1972\": true,\n \"1979\": true,\n \"1984\": true,\n \"1988\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1189, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 191, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 10, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.552} {"qid": "dsfull-476", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8cfb2ce721b416c9d171f626b18f0726b05073ef74e55f6194e286c566fbc63f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three countries/territories (Russia, Austria-Hungary, Germany) that meet both criteria (5%+ of mobilized troops as prisoners/missing and a gross national debt increase of 5 times or more). The response also provides detailed calculations and correctly eliminates other countries from the prompt based on the criteria.\",\n \"Correctness Details\": {\n \"Russia\": true,\n \"Austria-Hungary\": true,\n \"Germany\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1332, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 132, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.198} {"qid": "dsfull-477", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b8ae5f33b2249fd0c575f24d1fe78741b1244dd350d149f9d0686ac7f3fa6a42", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Arches National Park and Canyonlands National Park as requested by the prompt. However, it incorrectly included Zion National Park, which did not meet the criteria (Zion saw an increase in annual tent campers). It also missed Capitol Reef National Park, which did meet the criteria.\",\n \"Correctness Details\": {\n \"Arches National Park\": true,\n \"Canyonlands National Park\": true,\n \"Capitol Reef National Park\": false\n },\n \"Excessive Answers\": [\n \"Zion National Park\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 929, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 145, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 1, "precision": 0.6666666666666666, "recall": 0.6666666666666666, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.315} {"qid": "dsfull-480", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "750f4f2d1235699a7bd3fe361aa67ebec060064397aeff5ea78f37e53e99db27", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Wasted Times' as the song that spent longer in the UK Official Singles Chart top 100 than in the Billboard Hot 100, which matches the correct answer.\",\n \"Correctness Details\": {\n \"\\\"Wasted Times\\\"\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 906, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 97, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.914} {"qid": "dsfull-482", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "cd24d98d95799df1aaee1858cce98f7ad78771985a378c9ea4630358d4e3db8d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified the number 9, which matches the correct answer.\",\n \"Correctness Details\": {\n \"9\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 866, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 66, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.956} {"qid": "dsfull-479", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ecf48106ce497d0a73901e36b41534fad344319149216b9e9c1533251a3c8227", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all 12 universities from the correct answer list. The response is exhaustive and accurate.\",\n \"Correctness Details\": {\n \"St Andrews\": true,\n \"London School of Economics\": true,\n \"Durham\": true,\n \"Warwick\": true,\n \"Imperial College\": true,\n \"Loughborough\": true,\n \"Lancaster\": true,\n \"Southampton\": true,\n \"York\": true,\n \"Sheffield\": true,\n \"Liverpool\": true,\n \"Keele\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1286, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 162, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 12, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.319} {"qid": "dsfull-483", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c936e4c95b6a5929ba68717778b933947bd81173b910d11562c3622cd754c8ec", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the years specified in the 'Correct Answer': 2019, 2021, and 2022. It did not include any excessive answers.\",\n \"Correctness Details\": {\n \"2019\": true,\n \"2021\": true,\n \"2022\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1008, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 115, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.906} {"qid": "dsfull-481", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "50548ddecea332426d72129745b466f2abade04f4bedeb786d1e4875d0a5f450", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Apple, Cisco Systems, Meta Platforms, and Microsoft. However, it missed Accenture and SAP. Additionally, it included Alphabet, Sony, and Dell Technologies which are not in the correct answer set.\",\n \"Correctness Details\": {\n \"Accenture\": false,\n \"Apple\": true,\n \"Cisco Systems\": true,\n \"Meta Platforms\": true,\n \"Microsoft\": true,\n \"SAP\": false\n },\n \"Excessive Answers\": [\n \"Alphabet\",\n \"Sony\",\n \"Dell Technologies\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 923, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 152, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 3, "false_negatives": 2, "precision": 0.5714285714285714, "recall": 0.6666666666666666, "f1": 0.6153846153846153, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.217} {"qid": "dsfull-486", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e2892b0cf8961df62213479b3ceb3e5106e0b9235e3c2db3c886252008ba20e5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the patent number 4217604, which is the expected answer.\",\n \"Correctness Details\": {\n \"4217604\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1040, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 79, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.956} {"qid": "dsfull-485", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "badc37862ee5f162737f8d6b0723e314a8289c7b8e53c049096616372ad7f36c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Martin Richard Smith' as the candidate who won by the biggest margin, which matches the provided correct answer. It also provides supporting details for its conclusion.\",\n \"Correctness Details\": {\n \"Martin Richard Smith\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1047, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 88, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.99} {"qid": "dsfull-487", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "811488d880bf1bc8c1f1200efbdffe1c1e4e0914205eb567f94fccac39ae18f2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all five cities listed in the correct answer: Memphis, Detroit, Baltimore, Kansas City, and Milwaukee. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Memphis\": true,\n \"Detroit\": true,\n \"Baltimore\": true,\n \"Kansas City\": true,\n \"Milwaukee\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 964, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 112, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.022} {"qid": "dsfull-484", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f4021e7af5e812678574015e067df7ed8361e172b7d9c0051f9d6043c7f90550", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the countries listed in the correct answer. The AI's list perfectly matches the provided set of correct answers, with no missing or excessive entries.\",\n \"Correctness Details\": {\n \"Australia\": true,\n \"Bahamas\": true,\n \"Botswana\": true,\n \"Israel\": true,\n \"Nigeria\": true,\n \"Pakistan\": true,\n \"Sierra Leone\": true,\n \"Solomon Islands\": true,\n \"Somalia\": true,\n \"Tanzania\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1152, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 156, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 10, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.562} {"qid": "dsfull-488", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8fae1ec5ec8378ab6f69aaa495752d108ccb7a50e29a739dcf22e3014d018b54", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the general elections where valid votes exceeded 50,000, aligning with the provided correct answer. However, the correct answer uses the ordinal numbering for the general elections (e.g., '38th General Election'), while the AI response uses the year (e.g., '2004 general election'). Despite this difference in naming convention, they refer to the same events. The AI response does not include any excessive answers.\",\n \"Correctness Details\": {\n \"38th General Election\": true,\n \"39th General Election\": true,\n \"40th General Election\": true,\n \"41st General Election\": true,\n \"42nd General Election\": true,\n \"43rd General Election\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1085, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 206, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.436} {"qid": "dsfull-490", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d90549c0b47a5a4232cd0f2a7df8598e7706a2db3460ad368b0df05a8662df42", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all countries listed in the correct answer: Philippines, Vietnam, India, Pakistan, Bangladesh, and Myanmar. There are no excessive answers provided.\",\n \"Correctness Details\": {\n \"Philippines\": true,\n \"Vietnam\": true,\n \"India\": true,\n \"Pakistan\": true,\n \"Bangladesh\": true,\n \"Myanmar\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1318, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 118, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.021} {"qid": "dsfull-489", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6fcb5532a8eb7da21e2a99155aa434731cb779622703440941dc517222d7a98f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Bogalusa, Abbeville, Houma, and Lake Charles. However, it also included Crowley, Lafayette, and Metairie as excessive answers.\",\n \"Correctness Details\": {\n \"Bogalusa\": true,\n \"Abbeville\": true,\n \"Houma\": true,\n \"Lake Charles\": true\n },\n \"Excessive Answers\": [\n \"Crowley\",\n \"Lafayette\",\n \"Metairie\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1268, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 134, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 3, "false_negatives": 0, "precision": 0.5714285714285714, "recall": 1.0, "f1": 0.7272727272727273, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.174} {"qid": "dsfull-491", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1235a0130c100890ecb22028c0e5dd311cc9affc4d55e69b4c2dd57080659675", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the years and their corresponding nomination counts as listed in the correct answer. It presents them in the requested order (most to least nominations) and includes the correct show name.\",\n \"Correctness Details\": {\n \"2011 (17 nominations)\": true,\n \"2010 (14 nominations), 2012 (14 nominations)\": true,\n \"2013 (12 nominations)\": true,\n \"2014 (10 nominations)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1033, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 153, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.364} {"qid": "dsfull-492", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1c4077fc17d194f524036081b2089f828072ac16eaeeab568711458ea68ae29d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Austria and Singapore from the correct answer list. However, it missed Switzerland. Additionally, the response included several excessive answers: Denmark, Iceland, Japan, and New Zealand.\",\n \"Correctness Details\": {\n \"Austria\": true,\n \"Switzerland\": false,\n \"Singapore\": true\n },\n \"Excessive Answers\": [\n \"Denmark\",\n \"Iceland\",\n \"Japan\",\n \"New Zealand\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 897, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 127, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 4, "false_negatives": 1, "precision": 0.3333333333333333, "recall": 0.6666666666666666, "f1": 0.4444444444444444, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.272} {"qid": "dsfull-493", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6bd3f471add2c4cfc0aa813378139bc3a31a17f6ce3df929f17ec62d534cf238", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'New York' as the answer to the prompt, which asked to identify the location with the biggest difference in total precipitation. The response explicitly states 'New York (JFK International Airport) had the largest absolute difference'.\",\n \"Correctness Details\": {\n \"New York\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1108, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 101, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.177} {"qid": "dsfull-494", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "41eba6b1295bd226678acc5b963171eb7fd1d9b59ad84a96c52efba103253fc4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Norway as the country that fits all the criteria specified in the prompt.\",\n \"Correctness Details\": {\n \"Norway\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1186, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 69, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.895} {"qid": "dsfull-495", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9a19a0d9519b4b246ba115bb1b155922b5b20bf9bbef6004bd5bd3bfb4f48dcf", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response explicitly states that it is 'Unable to determine reliably' and 'I couldn\u2019t verify the session speakers\u2019 state affiliations or the complete ranking intersection,' which means it did not provide any of the correct answers. Therefore, all correctness details are false.\",\n \"Correctness Details\": {\n \"Harvard University\": false,\n \"Indiana University Bloomington\": false,\n \"Massachusetts Institute of Technology (MIT)\": false,\n \"Purdue University - West Lafayette\": false,\n \"University of Virginia\": false,\n \"Virginia Polytechnic Institute and State University\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 936, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 160, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 6, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.506} {"qid": "dsfull-496", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d3323e5ddafafcb08035daf0924745e12d5df519db0da4b215010b5b2023d17d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the banks with assets over $5 billion, the largest bank, and the smallest bank as per the correct answer. It also correctly states the number of bank failures.\",\n \"Correctness Details\": {\n \"Washington Mutual Bank (Including its subsidiary Washington Mutual Bank FSB), Henderson, NV\": true,\n \"IndyMac Bank, Pasadena, CA\": true,\n \"Downey Savings and Loan Association, F.A., Newport Beach, CA\": true,\n \"Franklin Bank, SSB, Houston, TX\": true,\n \"Largest: Washington Mutual Bank\": true,\n \"Smallest: Hume Bank, Hume, MO\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1190, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 178, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.557} {"qid": "dsfull-498", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "928fd6c5182f54434d19576ebbf0d2cd755d8afece9249c727cb925cb5c060c0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Kuwait as the country with the highest average percentage of women and girls from 2020 through the end of 2023, among those countries that had less than 45% women and girls in 2000. This matches the single correct answer provided.\",\n \"Correctness Details\": {\n \"Kuwait\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1034, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 114, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.176} {"qid": "dsfull-499", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5750ccca5330063ab48c7598fc6c56b1debc99885f22eb437f89b3b6e23ba350", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Lomography Potsdam Kino' as the film with the least development time, matching the correct answer. It also provides supporting details from the Massive Dev Chart.\",\n \"Correctness Details\": {\n \"Lomography Potsdam Kino\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1230, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 91, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.175} {"qid": "dsfull-497", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b64ea06f28f9c7685da03ad6f70d2146cff8c3ec93b6417913eaae16ffb5b246", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Durham, Lancaster, and Chichester based on the criteria provided. However, it failed to include St Andrews, Loughborough, and Royal Holloway, which are part of the correct set of answers. The AI explicitly excluded Loughborough, Royal Holloway, and St Andrews based on its interpretation of 'city population under 100,000', which led to the omission of these correct answers.\",\n \"Correctness Details\": {\n \"St Andrews\": false,\n \"Chichester\": true,\n \"Loughborough\": false,\n \"Lancaster\": true,\n \"Royal Holloway\": false,\n \"Durham\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1214, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 176, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 3, "precision": 1.0, "recall": 0.5, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.451} {"qid": "dsfull-500", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "02bebc2aa2b5fbc583c525a97c232bf71cc6a0ceab2ee568690a7ff221dc672c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified OCR as the exam board with the harshest grade boundaries on average for an A grade, aligning with the single correct answer provided.\",\n \"Correctness Details\": {\n \"OCR\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1575, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 81, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.974} {"qid": "dsfull-503", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "20b7b5a529bb5a2330c44b65cc4b82d45749ca0560f7b87e894f3d1684885189", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three provinces/territories from the correct answer: New Brunswick, Northwest Territories, and Nova Scotia. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"New Brunswick\": true,\n \"Northwest Territories\": true,\n \"Nova Scotia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1298, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 100, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.094} {"qid": "dsfull-504", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6cecd8ecdbe3546d952845b5cad2953240a729e42c10fbf0190ff701dc33ef69", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the states from which Jewish Supreme Court justices were appointed: Illinois, Massachusetts, New York, and Tennessee. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Massachusetts\": true,\n \"New York\": true,\n \"Tennessee\": true,\n \"Illinois\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 943, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 105, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.166} {"qid": "dsfull-502", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "64bb87e1247efcbf85684483d8dc9e4874df55c83f769c142300dacc84b02b7d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified India, United States, Indonesia, Brazil, and DR Congo. However, it incorrectly included China, which was not part of the correct answer set. The prompt asked for countries with a mortality rate less than the birth rate, and the AI's own table shows that China's birth rate (7.520) is greater than its death rate (7.180), thus satisfying this condition. Therefore, China should be a correct answer. However, the correct answer does not include China. Therefore, China is marked as an excessive answer.\",\n \"Correctness Details\": {\n \"India\": true,\n \"United States\": true,\n \"Indonesia\": true,\n \"Brazil\": true,\n \"DR Congo\": true\n },\n \"Excessive Answers\": [\n \"China\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1479, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 206, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 1, "false_negatives": 0, "precision": 0.8333333333333334, "recall": 1.0, "f1": 0.9090909090909091, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.557} {"qid": "dsfull-505", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e17daafe1c2eb78acb772096c5e5fbd14354326ef0d489ac80d770958c633d53", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three categories of buffs mentioned in the prompt: Combat, Skilling, and Utility. It also provides additional context about the game and the source of the information, which is helpful but not strictly required by the prompt.\",\n \"Correctness Details\": {\n \"Combat\": true,\n \"Skilling\": true,\n \"Utility\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 950, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 114, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.109} {"qid": "dsfull-501", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "45ab77341c3759651674e6abfe419565272ba2909cc8dbc177f59572eb23012e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response explicitly states that it could not find the requested information (top 5 car brands overall from 2017 to 2021 according to Kelly Blue Book Expert Ratings). It clarifies that KBB's expert ratings evaluate individual vehicles, not manufacturers overall, and therefore it cannot provide the requested brand rankings. This indicates that it did not provide any of the correct answers, which are the lists of top brands per year.\",\n \"Correctness Details\": {\n \"2017: 1. Honda, 2. Audi, 3. BMW, 4. Mercedes-Benz, 5. MAZDA\": false,\n \"2018: 1. Honda, 2. Audi, 3. Mercedes-Benz, 4. MAZDA, 5. Hyundai\": false,\n \"2019: 1. Audi, 2. Honda, 3. Porsche, 4. Genesis, 5. Mercedes-Benz\": false,\n \"2020: 1. Honda, 2. Mercedes-Benz, 3. Audi, 4. Porsche, 5. INFINITI\": false,\n \"2021: 1. Mercedes-Benz, 2. Honda, 3. Porsche, 4. Ford, 5. Toyota\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1107, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 323, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 5, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 2.122} {"qid": "dsfull-509", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "59dc1c6a13fec24b58d917f7f273f929979c9e3dcdb295975ad57d9b063ec7e5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Flintshire' as the unitary authority with the biggest drop in domestic gas consumption, which matches the single correct answer provided.\",\n \"Correctness Details\": {\n \"Flintshire\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 941, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 83, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.953} {"qid": "dsfull-507", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f05ef1d96334b19c369704536c5aa5535a43d95eea7585cb23853f0b854acaec", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Utrecht University, University of Amsterdam, Leiden University, and Delft University of Technology as meeting the criteria. However, it also included Wageningen University & Research, which was not in the correct answer set, making it an excessive answer. The AI also explicitly stated it couldn't fully verify the scores, which is a disclaimer on its own confidence, but it did provide the correct set of universities from the ground truth.\",\n \"Correctness Details\": {\n \"Utrecht University\": true,\n \"University of Amsterdam\": true,\n \"Leiden University\": true,\n \"Delft University of Technology\": true\n },\n \"Excessive Answers\": [\n \"Wageningen University & Research\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 961, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 182, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 1, "false_negatives": 0, "precision": 0.8, "recall": 1.0, "f1": 0.888888888888889, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.405} {"qid": "dsfull-508", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "901a5f3592e98c3f16c9edc00fdb0be0d3ac27efb4908c587c5780c1548fba5f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the provinces from the correct answer. The AI states that the GDP growth condition is unverified, but it still provides the correct list of provinces.\",\n \"Correctness Details\": {\n \"Quebec\": true,\n \"Ontario\": true,\n \"Nova Scotia\": true,\n \"Manitoba\": true,\n \"British Columbia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1145, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 118, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.188} {"qid": "dsfull-506", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c3169b170ea9de1bf99732d5b436f17bf0cb1f0bcb4f3086eb210d32911ae7f1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies the years for GDP growth for all countries and also includes extra years that are not correct. Specifically, it misses 2020 for Bulgaria, 2020 for North Macedonia, and incorrectly includes 2015 for Bulgaria, 2012, 2015, 2019 for Bosnia and Herzegovina, and 2009, 2012 for North Macedonia instead of just 2020.\",\n \"Correctness Details\": {\n \"Hungary: 2009\": false,\n \"Hungary: 2020\": false,\n \"Bulgaria: 2009\": true,\n \"Bulgaria: 2020\": false,\n \"Bosnia and Herzegovina: 2009\": true,\n \"Bosnia and Herzegovina: 2020\": true,\n \"North Macedonia: 2020\": false\n },\n \"Excessive Answers\": [\n \"Bulgaria: 2015\",\n \"Bosnia and Herzegovina: 2012\",\n \"Bosnia and Herzegovina: 2015\",\n \"Bosnia and Herzegovina: 2019\",\n \"North Macedonia: 2009\",\n \"North Macedonia: 2012\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1440, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 325, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 6, "false_negatives": 4, "precision": 0.3333333333333333, "recall": 0.42857142857142855, "f1": 0.375, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.439} {"qid": "dsfull-511", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8d8113268afb68d94a5bdb9b8ecf6919e60be66f6aa36bd91077d3a66421bf0f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies '2015/16' as the academic year with the biggest difference, which matches the provided correct answer. The additional text about inaccessible tables is extraneous but does not detract from the correct answer.\",\n \"Correctness Details\": {\n \"2015/16\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 876, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 103, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.98} {"qid": "dsfull-510", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0930463cd4b125b2b40db9b3280d2fcd375905b4f4dc7770cf22adcbe965d769", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three countries listed in the correct answer: United States, Japan, and Germany. There are no excessive answers.\",\n \"Correctness Details\": {\n \"United States\": true,\n \"Japan\": true,\n \"Germany\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1033, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 93, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.725} {"qid": "dsfull-513", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "845a695b74923e433d34f3abe0cf0dd3178f0c10f87afe06e51f2da49575d79f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the identical ingredients listed in the correct answer and presented them in a bulleted list as requested. The final answer also correctly lists all of the correct ingredients.\",\n \"Correctness Details\": {\n \"Garlic Powder\": true,\n \"Ground Black Pepper\": true,\n \"Kosher Salt\": true,\n \"Onion Powder\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 981, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 116, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.093} {"qid": "dsfull-512", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "22a5c639255aefe70b74b75b12260322b0838015c21280da54c9df57483117ee", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies South Africa as the country with the largest proportion of youth not in education, employment, or training. The correct answer, Egypt, is mentioned by the AI but not selected as the final answer.\",\n \"Correctness Details\": {\n \"Egypt\": false\n },\n \"Excessive Answers\": [\n \"South Africa\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1194, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 103, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.23} {"qid": "dsfull-514", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "fc315ce6cfb75c537f44130c9226893f0bf381ef87b712061d576b68b0f804d0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response incorrectly included Forest County. While Forest County was among the five least populated, it did not experience three or more tornadoes between 1950 and 2000 according to the provided data. Cameron County was correctly identified as having met all criteria.\",\n \"Correctness Details\": {\n \"Cameron County\": true\n },\n \"Excessive Answers\": [\n \"Forest County\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 992, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 114, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 1, "false_negatives": 0, "precision": 0.5, "recall": 1.0, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 0.983} {"qid": "dsfull-517", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3fc06102978e389e28c2c065ae0d6978504e660626bb569cf5c03a1facd07399", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified France as the country with the highest absolute change in gross national savings, which matches the correct answer.\",\n \"Correctness Details\": {\n \"France\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 847, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 75, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.936} {"qid": "dsfull-516", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "102ac022860200460707b7702f8beb7f05744888c0fa6bf535306bd86d9f0cf2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four paintings requested in the prompt.\",\n \"Correctness Details\": {\n \"Blue #1\": true,\n \"Blue #2\": true,\n \"Blue #3\": true,\n \"Blue #4\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1021, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 92, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.014} {"qid": "dsfull-515", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9e9fa167a343b030fe9b96e93c813ac57406a83f9191e0f91845641f50442201", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Schizothorax richardsonii' as the species with the lowest trophic level among those found in Canada, India, or Ireland with the common name 'trout'.\",\n \"Correctness Details\": {\n \"Schizothorax richardsonii\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 879, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 97, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.236} {"qid": "dsfull-518", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a200f8894febcd758698051ca31ba64c4dd4f8612746dc6a49f0b458cec04938", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all states listed in the correct answer. The AI also provided a helpful table and explanation of its interpretation of the time frame.\",\n \"Correctness Details\": {\n \"Alabama\": true,\n \"Arkansas\": true,\n \"Mississippi\": true,\n \"Oklahoma\": true,\n \"Utah\": true,\n \"West Virginia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1196, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 116, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.248} {"qid": "dsfull-522", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "aeb8bbf4ec66a502cf28a5654d0af2e2b7d3aa9f2820551104f1ae8febbd8fd5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Matthew Goff as the answer, which matches the provided correct answer. The AI also provides supporting evidence for most of the criteria mentioned in the prompt.\",\n \"Correctness Details\": {\n \"Matthew Goff\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1009, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 85, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.047} {"qid": "dsfull-519", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "80497f0f0a20c5279ffe71a3c5b46b92eee9295eaf673f961c08a5298a9323ed", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Pepsi as the company with annual EBITDA growth closest to the rate of food inflation in 2023, aligning with the provided correct answer.\",\n \"Correctness Details\": {\n \"Pepsi\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1209, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 85, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.452} {"qid": "dsfull-521", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "439bbb658fd3b05009c00ecbb228910004beb858794bdf19f7aaa6982552d36e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both 2017/18 and 2019/20 as the years that fit both criteria. The response includes links to the source documents, which is helpful but not part of the requested answer.\",\n \"Correctness Details\": {\n \"2017/18\": true,\n \"2019/20\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1083, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 120, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.199} {"qid": "dsfull-520", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "eac1771a5943389261ffde7f91c72af9a2493ea792295fa1b259263c625866cb", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both T. maritima and A. baumannii as having the greatest number of cysteine residues, which aligns with the correct answer. It also correctly states that both have 3 cysteine residues. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"T. maritima\": true,\n \"A. baumannii\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1035, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 114, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.295} {"qid": "dsfull-523", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e220bf3795ed8b078ddca86be8547e33cf80debee0aa06b0043d4b237c321412", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three health boards specified in the correct answer and presents them in the correct order based on the requested criteria. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Powys Teaching Health Board\": true,\n \"Hywel Dda University Health Board\": true,\n \"Betsi Cadwaladr University Health Board\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1250, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 114, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.972} {"qid": "dsfull-525", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4c1159c9ccdf4294f21cbc023fa3d7e6723b0af73130d92966a1160ae704d4b0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified the article name 'Hacking CTFs with Plain Agents', which is the sole expected answer.\",\n \"Correctness Details\": {\n \"Hacking CTFs with Plain Agents\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1062, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 80, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.76} {"qid": "dsfull-524", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5fb327997aba30298e3f0f773e702f91a9326c32063bae4c2545f0b00e7d222f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Mississippi Burning' and 'Highlander Folk School' as having more than 7 files. However, it also incorrectly included 'Stokely Carmichael' as an answer, which is not part of the correct answer set. The prompt specifically asked about the cases from the given list, and Stokely Carmichael was not in the original prompt's list of cases to consider.\",\n \"Correctness Details\": {\n \"Mississippi Burning\": true,\n \"Highlander Folk School\": true\n },\n \"Excessive Answers\": [\n \"Stokely Carmichael\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 989, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 152, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 0, "precision": 0.6666666666666666, "recall": 1.0, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.098} {"qid": "dsfull-526", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4dbc30a8716a952cf3c88300225127bf35b1148389e9b677d908a59a445eb228", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all countries listed in the correct answer. The AI also correctly formats the answer as a comma-separated list.\",\n \"Correctness Details\": {\n \"Italy\": true,\n \"South Korea\": true,\n \"Cuba\": true,\n \"Canada\": true,\n \"New Zealand\": true,\n \"Armenia\": true,\n \"Mauritius\": true,\n \"Brazil\": true,\n \"Uzbekistan\": true,\n \"Bhutan\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1124, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 147, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 10, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.209} {"qid": "dsfull-527", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c09b8afbfd74f011e2fbee37d359fd0309e4d53c3971b25ef0d929687186e024", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the municipalities listed in the correct answer. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Baca\": true,\n \"Bokob\u00e1\": true,\n \"Buctzotz\": true,\n \"Kanas\u00edn\": true,\n \"Kantunil\": true,\n \"Kaua\": true,\n \"Kinchil\": true,\n \"Kopom\u00e1\": true,\n \"Opich\u00e9n\": true,\n \"Oxkutzcab\": true,\n \"Uayma\": true,\n \"Uc\u00fa\": true,\n \"Um\u00e1n\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1083, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 180, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 13, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.522} {"qid": "dsfull-528", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "025c2e97d9824908961babfa24314e60d249ddfbe80d7f9c95ff101f45a6867a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response identifies two of the three correct stations: Times Sq-42 St/Port Authority Bus Terminal and Fulton St. However, it incorrectly lists 34 St-Penn Station (A/C/E) and 59 St-Columbus Circle as stations serviced by the A line that are in the top 10 busiest stations of 2023. It misses 34 St-Herald Sq and 14 St-Union Sq from the correct answer.\",\n \"Correctness Details\": {\n \"Times Sq-42 St/Port Authority Bus Terminal\": true,\n \"34 St-Herald Sq\": false,\n \"14 St-Union Sq\": false\n },\n \"Excessive Answers\": [\n \"Fulton St\",\n \"34 St-Penn Station (A/C/E)\",\n \"59 St-Columbus Circle\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1012, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 218, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 3, "false_negatives": 2, "precision": 0.25, "recall": 0.3333333333333333, "f1": 0.28571428571428575, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.477} {"qid": "dsfull-530", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "352d3434ee5e738569e0b9de7bbd444689208492889080429b35a37c55de5adb", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response states New Hampshire as the answer, which is incorrect. The correct answer is Arizona.\",\n \"Correctness Details\": {\n \"Arizona\": false\n },\n \"Excessive Answers\": [\n \"New Hampshire\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 910, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 79, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 0.78} {"qid": "dsfull-529", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4d5c4de814a6569a6b15dd06d78323b390c238ebc8b8dfad2aba152db8abe3d7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Newfoundland and Labrador and Quebec as the provinces that meet the criteria. Both are east of Ontario (excluding Ontario) and had over 50% for children with affordable child care in 2022, based on the specified table and population. The response correctly extracts these two provinces.\",\n \"Correctness Details\": {\n \"Newfoundland and Labrador\": true,\n \"Quebec\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 993, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 124, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.234} {"qid": "dsfull-531", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4bdcb3eca43ebdeea3bbb6d305d508be94420792b05301542a4aa81cb99a0d2a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 2008, 2009, and 2010. However, it also included 2006 and 2007 as excessive answers.\",\n \"Correctness Details\": {\n \"2008\": true,\n \"2009\": true,\n \"2010\": true\n },\n \"Excessive Answers\": [\n \"2006\",\n \"2007\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 981, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 136, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 2, "false_negatives": 0, "precision": 0.6, "recall": 1.0, "f1": 0.7499999999999999, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.305} {"qid": "dsfull-533", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "aa91de351185e759dc44cfdc1abd043c9d8df15b28bdd386af9606c900d50e6f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Ecuador' as the country that meets all the specified criteria. The response also provides supporting data and links to World Bank statistics for each criterion, which reinforces the correctness of the answer.\",\n \"Correctness Details\": {\n \"Ecuador\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1160, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 94, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.041} {"qid": "dsfull-532", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "350ddcc2b8aad3bba65ce37ff1004ba9b62a335cf1bd981b60ce4ea34c724877", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four companies from the 'Correct Answer' that operate coal mines in Wyoming: Peabody Energy, Arch Resources, Navajo Transitional Energy Co, and David Michael Jamison Petri E Koivula (Eagle Summit Resources). The AI response also provides additional context about the specific mines operated by each company and references the EIA report and Wyoming Mining Association directory, which is helpful but does not introduce excessive answers.\",\n \"Correctness Details\": {\n \"Peabody Energy\": true,\n \"Arch Resources\": true,\n \"Navajo Transitional Energy Co\": true,\n \"David Michael Jamison Petri E Koivula (Eagle Summit Resources)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1062, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 174, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.122} {"qid": "dsfull-534", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "dbc10e1a8310262792c5cf4ceef9c8f35a6ad7fcee7acb709033f23985644454", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies '5' as the number of commanders who commanded exactly two flights on the space shuttle Discovery, which had the most orbital flights. The response also provides a table listing these commanders and their missions, which supports the answer.\",\n \"Correctness Details\": {\n \"5\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 958, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 99, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.238} {"qid": "dsfull-536", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e69e58d8ed599fd16bf008a9e2df5507a48d38c8b0a1b85afb1b2eff9677a761", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Nigeria as the answer, which matches the provided correct answer.\",\n \"Correctness Details\": {\n \"Nigeria\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 963, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 67, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.012} {"qid": "dsfull-538", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "be2cf7d89a13e29ee21a3687117cb2f5f3946ad8bb2dcee67a483ee3a8ead886", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both Killybegs and Waterford as the ports that had between 10,000-100,000 passenger visits in both 2022 and 2023, matching the correct answer.\",\n \"Correctness Details\": {\n \"Waterford\": true,\n \"Killybegs\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 944, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 115, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.049} {"qid": "dsfull-537", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0c602165636aaede2638f1912068db92dabd87560ca35b45430512e49eff7d18", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the countries listed in the correct answer (France, Italy, Spain, Poland, Romania). However, it also includes Belgium, which is not in the correct answer set. The correct answer specifies 6 countries, while the AI lists 6, with one being incorrect.\",\n \"Correctness Details\": {\n \"France\": true,\n \"Italy\": true,\n \"Spain\": true,\n \"Poland\": true,\n \"Romania\": true,\n \"Netherlands\": false\n },\n \"Excessive Answers\": [\n \"Belgium\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 878, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 153, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 1, "false_negatives": 1, "precision": 0.8333333333333334, "recall": 0.8333333333333334, "f1": 0.8333333333333334, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.194} {"qid": "dsfull-539", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "72caff1fbf9d2329bf95f1b69a90bff21fe5eab1e08726ba949dc7cecbe2e732", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response failed to identify any of the correct states. It provided Hawaii, Montana, North Dakota, and Wisconsin, none of which are in the correct answer set. Therefore, all its answers are excessive.\",\n \"Correctness Details\": {\n \"New Hampshire\": false,\n \"South Carolina\": false,\n \"Ohio\": false,\n \"Illinois\": false,\n \"Oregon\": false,\n \"Rhode Island\": false\n },\n \"Excessive Answers\": [\n \"Hawaii\",\n \"Montana\",\n \"North Dakota\",\n \"Wisconsin\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 977, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 155, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 4, "false_negatives": 6, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.215} {"qid": "dsfull-540", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "93f3c8268a02e51a50b1a1ae0da2468b6bbc8059c4ac2931bf74c1161a63ef95", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Wingstop as the company with the highest EBITDA/Interest Expense ratio, which matches the correct answer. The AI also provides some calculations for Yum! Brands, but the final answer is correct.\",\n \"Correctness Details\": {\n \"Wingstop Inc.\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1021, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 96, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.124} {"qid": "dsfull-541", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f38da7e0c738a08bd73191497a2a6e8c410248eac65ee03a1adab2f4b61fa7c2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all seven states listed in the correct answer. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Alaska\": true,\n \"Hawaii\": true,\n \"New Hampshire\": true,\n \"North Dakota\": true,\n \"Rhode Island\": true,\n \"South Dakota\": true,\n \"Vermont\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 939, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 117, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 7, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.088} {"qid": "dsfull-542", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f375481cbca8be032d46f0af1573053fc2262b5a0997f8ba797e07533efc8672", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified the city as Fullerton, the highest numbered route as 83, and the number of scheduled departure stops as 5, which matches the correct answer.\",\n \"Correctness Details\": {\n \"5\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1024, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 86, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.19} {"qid": "dsfull-543", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c7c362c4715059357ad68d42b42c269ad75f59465e22d1671d7c88d0632d43f7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Canada' as the answer, which matches the provided correct answer. The AI also provided reasoning for its answer.\",\n \"Correctness Details\": {\n \"Canada\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 970, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 78, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.989} {"qid": "dsfull-535", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "671198bf24d9e9b3b6dfe8c283b80da3fef1bf4b6be3c0c2c0595fdea7d46dc7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies 'Harrow' as the authority with the closest percentages. The correct answer, 'Brighton and Hove', has an obesity rate of 15.1% and a smoking rate of 14.4%, a difference of 0.7 percentage points. Harrow has a difference of 1.6 percentage points (16.7% vs 15.1%). The AI states that only Harrow meets both thresholds in the revised data, which is incorrect as Brighton and Hove (15.1% obesity, 14.4% smokers) still fits the criteria of under 20% obesity and 15% or higher smoking (the prompt did not specify strictly '15% or higher' but '15% or higher', which 14.4% is not). However, even if we were to strictly apply the '15% or higher' for smokers, the prompt asks for the authority with the two percentages closest together from the qualifying set. If Brighton and Hove's smoking rate (14.4%) does not meet the '15% or higher' criteria, then it should not be in the initial qualifying set. If we only consider the authorities that meet both criteria, the AI's calculation for Harrow's difference (1.6) is correct, but Brighton and Hove's difference (0.7) would be the closest if it met the smoking threshold. The core issue is that the AI incorrectly states only Harrow meets both thresholds, and then incorrectly identifies Harrow as having the closest percentages even if it were the only one.\",\n \"Correctness Details\": {\n \"Brighton and Hove\": false\n },\n \"Excessive Answers\": [\n \"Harrow\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1179, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 393, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 3.701} {"qid": "dsfull-546", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5dac2853976864607525940a41d01897988bc106a6ef2e74fa8ab9ecd789769b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both Cdr. Jack Peterson and Lt. Cdr. David Lampen, who were commanding officers of the HMS Sharpshooter during the specified period and were awarded the DSO. It also correctly excludes Robert Bill, whose command began after the surrender of Nazi Germany.\",\n \"Correctness Details\": {\n \"Cdr. Jack Peterson\": true,\n \"Lt. Cdr. David Lampen\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1044, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 126, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.964} {"qid": "dsfull-545", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "743fe0a72db74e26575789f551ccd30a8b57056c082359580951200120cea1a0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies '352-bit' as the BUS width, which matches the correct answer. The additional information about the specific card (RTX 2080 Ti) and memory details, while helpful context, does not detract from the correctness of the final answer to the specific question asked about the bus width.\",\n \"Correctness Details\": {\n \"352 bit\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 970, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 121, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.242} {"qid": "dsfull-544", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7b8a036f8eb09f1c3ce3b16e5b360a26dadd0db848a14d0cd0a34c692b8f2123", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response states that it could not retrieve the necessary information to answer the question, therefore it did not provide any of the correct answers. It explicitly states 'Unable to verify the five trusts'.\",\n \"Correctness Details\": {\n \"South Tyneside NHS Foundation Trust\": false,\n \"George Eliot Hospital NHS Trust\": false,\n \"Gateshead Health NHS Foundation Trust\": false,\n \"Isle Of Wight NHS Trust\": false,\n \"Wye Valley NHS Trust\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 941, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 142, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 5, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.501} {"qid": "dsfull-547", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "df9779b5e20f1f37ba7863aebac7a094402c1652235fc382053e9331f7523872", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the countries listed in the correct answer: Democratic Republic of Congo, Guinea, Israel, and Northern Cyprus. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Northern Cyprus\": true,\n \"Democratic Republic of Congo\": true,\n \"Guinea\": true,\n \"Israel\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 981, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 108, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.077} {"qid": "dsfull-548", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e1c685a6eea08fac186a83a0e7cadd37d49e4e15389e2d1cfc0672338ee8f05b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Kentucky and Mississippi from the correct answer set. However, it also included Indiana as an excessive answer, which was not part of the correct answer set.\",\n \"Correctness Details\": {\n \"Mississippi\": true,\n \"Kentucky\": true\n },\n \"Excessive Answers\": [\n \"Indiana\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1012, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 100, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 0, "precision": 0.6666666666666666, "recall": 1.0, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.011} {"qid": "dsfull-550", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1bf1fad4f135f0768d31cee7cf833d3d7e41bbbac659efb4b949fb07742a9b12", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Q1, Q2, and Q3 as the quarters where unearned fees were equal to or over $1.2 billion, matching the correct answer.\",\n \"Correctness Details\": {\n \"Q1\": true,\n \"Q2\": true,\n \"Q3\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1196, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 104, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.089} {"qid": "dsfull-549", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "77b48830c02bf28fbede2321513f3a89b47122e7897444a42bcdfc637265eea7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both CoRoT-7 b and HAT-P-13 b, which are the only exoplanets that fit all the criteria specified in the prompt: discovered in 2009, using the transit method, with one star, and more than one planet in its system.\",\n \"Correctness Details\": {\n \"CoRoT-7 b\": true,\n \"HAT-P-13 b\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 941, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 132, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.346} {"qid": "dsfull-552", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "866a7fbc22cb4bfb6c172a07407df0ccf289a7f4dce7f426ac04570121209535", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly lists all the authors mentioned in the correct answer. The spelling and order of authors are also consistent.\",\n \"Correctness Details\": {\n \"Z. Chen\": true,\n \"C. Peng\": true,\n \"A. N. Petsch\": true,\n \"S. R. Chitturi\": true,\n \"A. Okullo\": true,\n \"S. Chowdhury\": true,\n \"C. H. Yoon\": true,\n \"J. Turner\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1002, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 148, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 8, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.171} {"qid": "dsfull-551", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1935a51f3c635df0ee390508c5913b179f22ffb9f7be32840df5e16dc50b3908", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both 'Sony (PlayStation)' and 'Nintendo (Nintendo Wii)' as the devices and their parent companies that satisfy all the conditions specified in the prompt. The response systematically breaks down each condition and provides a clear table and explanation for each step, leading to the correct final answer.\",\n \"Correctness Details\": {\n \"Sony (PlayStation)\": true,\n \"Nintendo (Nintendo Wii)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1640, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 126, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.469} {"qid": "dsfull-553", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a904fc3197c8dc0ce85620fd73ae923ef5974bd774f7e3bd80835054673fc230", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all nine states listed in the correct answer. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Kansas\": true,\n \"Montana\": true,\n \"New Mexico\": true,\n \"North Dakota\": true,\n \"Oklahoma\": true,\n \"South Carolina\": true,\n \"South Dakota\": true,\n \"Tennessee\": true,\n \"Utah\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1004, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 130, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 9, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.024} {"qid": "dsfull-554", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "22ad9667973c823e9bdff36b4a92e72f231dc49bc8ff6e53cdea7b3f8b243601", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Pennsylvania but also includes Michigan and Texas, which are excessive answers.\",\n \"Correctness Details\": {\n \"Pennsylvania\": true\n },\n \"Excessive Answers\": [\n \"Michigan\",\n \"Texas\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 883, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 81, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 2, "false_negatives": 0, "precision": 0.3333333333333333, "recall": 1.0, "f1": 0.5, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.085} {"qid": "dsfull-555", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b70cf04ab795f3d41c90586db928577d2d08c2da96753b779bbb3f6e8ccefa70", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Scraps' as the musical, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Scraps\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1002, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 72, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.037} {"qid": "dsfull-556", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e9dd8d31c0d00d3a3ef221bf28372e2af5a71b3d6c0de5c148e1d4acbb7e2f10", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Loon' as the primary image on the back side of the Canadian coin with the highest mintage rate in 2013, which matches the provided correct answer.\",\n \"Correctness Details\": {\n \"Loon\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 891, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 92, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.08} {"qid": "dsfull-558", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c1bb1d0f84c0ce06369dafca4138b276f4d90e81d5e20589d28c376efcc386b8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three countries listed in the correct answer: Russia, Sudan, and Ukraine. The response also provides a table with the GPI values for 2021 and 2023 for each country, which supports its answer.\",\n \"Correctness Details\": {\n \"Sudan\": true,\n \"Ukraine\": true,\n \"Russia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1006, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 117, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.138} {"qid": "dsfull-557", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "dcc39f1eb5f9880768bc6ff021bc4c6fd5557dd4b7d191acb69ab5d6716daca5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the countries listed in the correct answer: Ethiopia, Egypt, Vietnam, Bangladesh, and China. It also provides a table with supporting data from Worldometer for each country's lowest growth rate, which aligns with the prompt's criteria.\",\n \"Correctness Details\": {\n \"Ethiopia\": true,\n \"Egypt\": true,\n \"Vietnam\": true,\n \"Bangladesh\": true,\n \"China\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1117, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 133, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.427} {"qid": "dsfull-559", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7e3380bf778ec0fe653112eba1075f03040ffbe3c34344115d3e5cbf881c12e2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Toyota' as the company that released the most SUV models in 2014, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Toyota\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 907, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 80, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.987} {"qid": "dsfull-561", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "aed25af22f1eddc37ab6df4a9ff714786ea5ad91ae4d6e097b4ba13ce66a5cd7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Jerry' as the character with the specified stats, matching the correct answer.\",\n \"Correctness Details\": {\n \"Jerry\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 839, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 71, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.813} {"qid": "dsfull-560", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e48ef884e42d49ccd5415851ed0f8861cdc5877c5aa5fbd7cb0f2477015635bf", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all three countries listed in the correct answer: Israel, Lithuania, and Czechia. It also provides supporting details for each criterion mentioned in the prompt (rank, happiness change, happiest age group, and population).\",\n \"Correctness Details\": {\n \"Israel\": true,\n \"Lithuania\": true,\n \"Czechia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1096, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 114, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.952} {"qid": "dsfull-563", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "dbad36dc0b685ff2eadb1173ea31a10fee3323b195cb5b3e0576602af2189b80", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Nova Scotia, Ontario, Manitoba, and Quebec. However, it also included Prince Edward Island, which was not in the correct answer set, making it an excessive answer.\",\n \"Correctness Details\": {\n \"Nova Scotia\": true,\n \"Ontario\": true,\n \"Manitoba\": true,\n \"Quebec\": true\n },\n \"Excessive Answers\": [\n \"Prince Edward Island\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1053, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 124, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 1, "false_negatives": 0, "precision": 0.8, "recall": 1.0, "f1": 0.888888888888889, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.036} {"qid": "dsfull-562", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f8aac6387488e3599c8d95ad5ffdcfd3ed5ac59f0adbe3799b65e108ce216b43", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identified BNY Mellon Center at One Boston Place, La Tour CIBC, Chicago Board of Trade, 800 Bell Street, and Gables Republic Tower. However, it also included One Prudential Plaza, which was not in the correct answer set.\",\n \"Correctness Details\": {\n \"BNY Mellon Center at One Boston Place\": true,\n \"La Tour CIBC\": true,\n \"Chicago Board of Trade\": true,\n \"800 Bell Street\": true,\n \"Gables Republic Tower\": true\n },\n \"Excessive Answers\": [\n \"One Prudential Plaza\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1206, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 162, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 1, "false_negatives": 0, "precision": 0.8333333333333334, "recall": 1.0, "f1": 0.9090909090909091, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.393} {"qid": "dsfull-565", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "bf5dc3a50d7df47abe33fd70cd99432da498b77aae7ce7cbe6b46262ceae5979", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'New Mexico' but incorrectly included 'Arizona' and missed 'Texas'.\",\n \"Correctness Details\": {\n \"New Mexico\": true,\n \"Texas\": false\n },\n \"Excessive Answers\": [\n \"Arizona\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 920, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 87, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 1, "false_negatives": 1, "precision": 0.5, "recall": 0.5, "f1": 0.5, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.05} {"qid": "dsfull-566", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ce4834db820e8790fe5621d8e0c8252b4efb4c343b48e898089ba36cd6a4008c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the countries listed in the correct answer: Austria, Germany, and Italy. The response also correctly identifies the location of the meeting as Davos, Switzerland, which is relevant context.\",\n \"Correctness Details\": {\n \"Austria\": true,\n \"Germany\": true,\n \"Italy\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 922, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 105, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.07} {"qid": "dsfull-564", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3e67c37afd9a86e98f005f4597b94c9961259b6f630e011c2370ff346295c119", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all six U.S. Presidents who meet the specified criteria: attended an AAU university (as of May 2024), had prior experience as a state governor, and were elected president after 1900. The response provides a table with supporting details for each president and a clear final answer.\",\n \"Correctness Details\": {\n \"Woodrow Wilson\": true,\n \"Jimmy Carter\": true,\n \"Franklin D. Roosevelt\": true,\n \"George W. Bush\": true,\n \"Bill Clinton\": true,\n \"Theodore Roosevelt\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1236, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 165, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.53} {"qid": "dsfull-567", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "85b7bf7ba2017e4d8aa30fdf2ae90f5c630780b486c655ec1834baed2d967ef0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both Romania and Russia, which are the correct answers. It also included a disclaimer about not being able to fully verify the historical comparison data, but this doesn't detract from the correctness of the final answer provided.\",\n \"Correctness Details\": {\n \"Romania\": true,\n \"Russia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1000, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 105, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.971} {"qid": "dsfull-568", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "873dca3a6713a8e02e72a6cf62bdceb5b4291517907a352506ad42a77bb44751", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response provides a population count of 214,326,223, which does not match the correct answer of 209,550,294. Therefore, the answer is incorrect.\",\n \"Correctness Details\": {\n \"209,550,294\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1072, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 109, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 0.959} {"qid": "dsfull-569", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d13a4cc6ecd65f9636b94ffdb3254690a6921bc0f7646772801c92caab6d7d5b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Dr Simon Barry as the plenary speaker from CSIRO.\",\n \"Correctness Details\": {\n \"Dr Simon Barry\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 900, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 68, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.872} {"qid": "dsfull-571", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9616fa7227171e8bab320394a67a36b5f95f892af008f134fee436367d2c7bad", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies the University of South Florida as the most affordable, whereas the correct answer is Utah State University.\",\n \"Correctness Details\": {\n \"Utah State University\": false\n },\n \"Excessive Answers\": [\n \"University of South Florida\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 879, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 87, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.102} {"qid": "dsfull-570", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4f55a9478cbcda1f57fcab761ee5997e5116c8d954779f88704b99949925c91c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Mississippi' as the answer, which matches the provided correct answer. The AI also provides additional context and a link to support its answer, even noting a limitation in its data retrieval for one of the criteria.\",\n \"Correctness Details\": {\n \"Mississippi\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 959, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 97, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.424} {"qid": "dsfull-572", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6bef215cfc7a019e51e36949df332c1a1a19c8666d1dddf1c8bbedd432514f57", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response provided 'Umbreon GX #154/149 (Rainbow Rare)' as the answer, which is incorrect. The correct answer is 'Espeon GX #SV60 (Hidden Fates)'.\",\n \"Correctness Details\": {\n \"Espeon GX #SV60 (Hidden Fates)\": false\n },\n \"Excessive Answers\": [\n \"Umbreon GX #154/149 (Rainbow Rare)\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 951, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 133, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.283} {"qid": "dsfull-574", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "eeb2e5ddef70904bb853681780f1f40c4462a36256c7532991a43bb66b73b6b8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both 2008 and 2012, which are the correct answer years. It also provided a clear explanation and supporting details.\",\n \"Correctness Details\": {\n \"2008\": true,\n \"2012\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1077, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 98, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.327} {"qid": "dsfull-573", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4a9517ff187b8d08a20e29e06577ce182755eaf3d68f5ffff2f168a43b74c9c6", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the universities listed in the correct answer and presents them in the correct order, separated by semicolons instead of commas as requested, but the listed universities are correct.\",\n \"Correctness Details\": {\n \"St Andrews\": true,\n \"London School of Economics\": true,\n \"Aberdeen\": true,\n \"Exeter\": true,\n \"Swansea\": true,\n \"Ulster\": true,\n \"West London\": true,\n \"Coventry\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 978, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 147, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 8, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.512} {"qid": "dsfull-575", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "fa22cd73c1469c760496c18293e49ebb49c271b791aa88f2da4c890941dc634a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies Gaylesville School as having the highest percentage of Students with Disabilities. The correct answer is Cherokee County High School.\",\n \"Correctness Details\": {\n \"Cherokee County High School\": false\n },\n \"Excessive Answers\": [\n \"Gaylesville School\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 875, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 93, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.1} {"qid": "dsfull-577", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6c58aa62eb53d5ed272d1ceba7771486a464c634092e5b687c2d33f772c84454", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both Chad and Central African Republic, which are the two countries listed in the correct answer. The response also provides data from Our World in Data to support its answer, which is helpful context.\",\n \"Correctness Details\": {\n \"Chad\": true,\n \"Central African Republic\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1081, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 102, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.874} {"qid": "dsfull-576", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5b0db94db1871a548b78daf700cf36768f2bcaa0fd905cd225ec94dd1319b131", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Washington' as the state with the lowest number of COVID-19 deaths based on the given criteria. Although it couldn't fully verify all conditions, the final answer matches the provided correct answer.\",\n \"Correctness Details\": {\n \"Washington\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1063, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 96, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.524} {"qid": "dsfull-579", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0d08bcabbed2e703206d41b94bd0949c42cd66a5df909928a2d192cba535862d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Business' and 'Engineering and computer science' but missed 'Interdisciplinary'.\",\n \"Correctness Details\": {\n \"Business\": true,\n \"Engineering & Comp Sci\": true,\n \"Interdisciplinary\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 924, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 90, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.6666666666666666, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.939} {"qid": "dsfull-580", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "862df9cd34420d00a1b6f30c0178487e4c66cbafa92a77103e8e0231daab1fa6", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three months (July, August, September) as specified in the 'Correct Answer'. It also provides the exact passenger numbers and links to the source data, which is helpful but not part of the required answer set.\",\n \"Correctness Details\": {\n \"July\": true,\n \"August\": true,\n \"September\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1116, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 113, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.999} {"qid": "dsfull-582", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c6ea26654751bea42866834baeab5d499714e85e5647830ddb5594419f509ea8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Nausea' as the shared side effect, which is the only item in the correct answer set. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Nausea\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 958, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 83, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.781} {"qid": "dsfull-578", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2b7509222bc8dc57893d69c4f59d747822110afe6d268d5b2d97fa8788980a99", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both factual report corrections made to the original maintenance report. It explicitly states that the 'Engine serial number' was corrected from 'CAE-847553' to '132001' and the 'Engine installation date' was corrected from 'October 12, 2021' to 'May 14, 2014'. This matches the provided correct answer exactly.\",\n \"Correctness Details\": {\n \"Engine Serial Number should be 132001 and NOT CAE-847553\": true,\n \"Date installed for the Engine should be May 14, 2014 and NOT October 12, 2021\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1312, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 198, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.79} {"qid": "dsfull-581", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "09ad730c808e38dec49b5e1b0a0a5d14b96113ecf6d06b9cba2a1257b15a5859", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the airports listed in the correct answer. However, it also included three additional airports (Kelowna International Airport, Victoria International Airport, and Qu\u00e9bec City Jean Lesage International Airport) that were not part of the expected set of answers.\",\n \"Correctness Details\": {\n \"Halifax Stanfield Airport\": true,\n \"Edmonton Airport\": true,\n \"Winnipeg James Armstrong Richardson Airport\": true,\n \"Ottawa Macdonald-Cartier Airport\": true,\n \"Toronto (Lester B) Pearson Airport\": true,\n \"Montr\u00e9al (Pierre Elliott Trudeau) Airport\": true,\n \"Calgary Airport\": true,\n \"Vancouver Airport\": true\n },\n \"Excessive Answers\": [\n \"Kelowna International Airport\",\n \"Victoria International Airport\",\n \"Qu\u00e9bec City Jean Lesage International Airport\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1373, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 214, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 8, "false_positives": 3, "false_negatives": 0, "precision": 0.7272727272727273, "recall": 1.0, "f1": 0.8421052631578948, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.596} {"qid": "dsfull-583", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1193ece7df37aea277222720e36b97ba183f191e8f131e8d7caef366f0a57dca", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies that the larger drop was between the years 2017/18 and 2020/21. It also provides the supporting data and calculations for both periods.\",\n \"Correctness Details\": {\n \"2017/18 and 2020/21\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1104, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 108, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.181} {"qid": "dsfull-584", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d6f93eb158a9b2fc8b7f8faa6d4e8a3a8c9b25d83da5fceaadfeadcb3dff5c1a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Midway, Navarre, and Pace as the cities that meet the criteria, and lists them in the correct order. All items from the correct answer are present in the response.\",\n \"Correctness Details\": {\n \"Midway\": true,\n \"Navarre\": true,\n \"Pace\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 991, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 106, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.228} {"qid": "dsfull-585", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2172e7a55c9d44642415e2780e1d339b8dcc693fbb1478ff285840d5d5aa1226", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both Armenia and Sweden, which are the two countries listed in the correct answer. The table also provides additional details that align with the prompt's criteria, confirming the correctness of the listed countries.\",\n \"Correctness Details\": {\n \"Sweden\": true,\n \"Armenia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1019, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 102, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.083} {"qid": "dsfull-586", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0951378b1ed0e51dcaf943684cf900047b86cf57f6bb1481632764d5ddfec3e9", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified '64.636.6' and '64.636.2'. However, it incorrectly included '64.636.5' as an answer, which is not part of the correct set.\",\n \"Correctness Details\": {\n \"64.636.6\": true,\n \"64.636.2\": true\n },\n \"Excessive Answers\": [\n \"64.636.5\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1150, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 140, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 0, "precision": 0.6666666666666666, "recall": 1.0, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.243} {"qid": "dsfull-587", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7bdd643967a1576cfe1f32c04dff4bbcd59a82b0bbce28a07734b001d97b8425", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Latvia as the answer, which matches the single correct answer provided.\",\n \"Correctness Details\": {\n \"Latvia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1034, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 69, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.806} {"qid": "dsfull-588", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b01452f71767393079ccd93d9260d0437bfd64428f91c203bb96c772b5b11a2e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four plays from the correct answer list that mention or allude to pears: All's Well that Ends Well, The Merry Wives of Windsor, Romeo and Juliet, and The Winter's Tale. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"All\u2019s Well that Ends Well\": true,\n \"The Merry Wives of Windsor\": true,\n \"Romeo and Juliet\": true,\n \"The Winter\u2019s Tale\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1045, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 141, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.437} {"qid": "dsfull-589", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "09ed4afe76a26975daf6242839e7eb296ee648f37e91eccd563e5f3eef9c7cf8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four lipids specified in the correct answer. The response uses 'DSPC' which is a common abbreviation for '18:0 PC (DSPC)', and 'DMG-PEG2k' which is a common abbreviation for 'DMG-PEG2000'. All items from the correct answer are present.\",\n \"Correctness Details\": {\n \"DLin-MC3-DMA\": true,\n \"18:0 PC (DSPC)\": true,\n \"Cholesterol\": true,\n \"DMG-PEG2000\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1056, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 164, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.217} {"qid": "dsfull-591", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d9af17edd35fcc913448ae03f3278ccb38440a9ba59e19de0893f3916870c197", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the countries listed in the correct answer: Bahamas, Cape Verde, and Venezuela.\",\n \"Correctness Details\": {\n \"Bahamas\": true,\n \"Cape Verde\": true,\n \"Venezuela\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1243, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 88, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.979} {"qid": "dsfull-590", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8cc242d7cfda377b0e4e765a27823c0d784d91c7ba0ad22dd21b79e6e71a5301", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both 'Hilma af Klint' and 'Bjorn Lovin' as the artists who were deceased at the time of their exhibitions at the Moderna Museet in Stockholm in 2022. The response also provides additional, relevant details such as the exhibition titles, dates, and the artists' lifespans, which supports the correctness of the answer.\",\n \"Correctness Details\": {\n \"Bjorn Lovin\": true,\n \"Hilma af Klint\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1019, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 142, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.504} {"qid": "dsfull-592", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "bd5a7c1cbcd17da2a2aefb5f4c442c0907542259c618b48e39c169381eabc408", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both 'I Can't Handle Change' and 'Christmas Kids' as the two songs that went viral on TikTok, which matches the provided correct answer. It also correctly attributes them to Roar (Owen Evans), which is consistent with the prompt's implied artist.\",\n \"Correctness Details\": {\n \"I Can't Handle Change (2010)\": true,\n \"Christmas Kids (2010)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 953, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 134, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.38} {"qid": "dsfull-593", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d3b595ae1e621b2f2951a78c95dae03a1fe366860aef4a9f1c80b9387c2a1892", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the states listed in the correct answer: Iowa, Missouri, and Oklahoma. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Oklahoma\": true,\n \"Missouri\": true,\n \"Iowa\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1154, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 91, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.845} {"qid": "dsfull-594", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9743379bcb23ff2b3bc5339b6854538ef603e21901fa2272afa3c7f27f54e976", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies Fargo, ND-MN as the area with the greatest difference, whereas the correct answer is Lincoln, NE.\",\n \"Correctness Details\": {\n \"Lincoln, NE\": false\n },\n \"Excessive Answers\": [\n \"Fargo, ND-MN\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 901, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 92, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 0.972} {"qid": "dsfull-596", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "21fdf6bbdc053def374a54432b6a005d0d43815f1eac02e3a6b5ec26648af1dd", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Chile' as the country, which matches the provided correct answer. The 'Final Answer:' prefix does not detract from the correctness as the core answer is still provided.\",\n \"Correctness Details\": {\n \"Chile\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 867, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 89, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.976} {"qid": "dsfull-595", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ae0d66de2492949a7006f82b58b0631d5d07dfad132029fa7e24764bed8ab8ae", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'United Nations Convention on the Law of the Sea' but missed 'Rotterdam Convention' and 'The Hague Convention'. It also included an excessive answer: 'Convention on the Law Applicable to Certain Rights in Respect of Securities Held with an Intermediary'.\",\n \"Correctness Details\": {\n \"United Nations Convention on the Law of the Sea\": true,\n \"Rotterdam Convention\": false,\n \"The Hague Convention\": false\n },\n \"Excessive Answers\": [\n \"Convention on the Law Applicable to Certain Rights in Respect of Securities Held with an Intermediary\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 962, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 158, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 1, "false_negatives": 2, "precision": 0.5, "recall": 0.3333333333333333, "f1": 0.4, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.152} {"qid": "dsfull-597", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4755a7e54ae6176a82eb6a21dd2fcf57e90c5a09569dc26c1ced66a784183d0b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response states 'Q2 2022' as the answer, which is incorrect. The correct answer is 'Quarter 3 2022'.\",\n \"Correctness Details\": {\n \"Quarter 3 2022\": false\n },\n \"Excessive Answers\": [\n \"Q2 2022\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 931, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 107, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.075} {"qid": "dsfull-598", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1da628a61d86d7e86e55461888fa6f08435dc119b7f0abaf5d05356ab9eb6a31", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Tuesday, July 3, 2001' as the date the heaviest Rio Grande Cichlid was caught, which matches the correct answer 'July 3, 2001'. The mention of 'Tuesday' is an additional detail but does not contradict the core answer.\",\n \"Correctness Details\": {\n \"July 3, 2001\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 924, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 123, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.012} {"qid": "dsfull-599", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5b41ab48be792232f890060cb35c271a8078e20f03642051eb4860b976dff86a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all countries for each specified year, matching the 'Correct Answer'. The response also provides the lists in the requested order based on internal fresh water, which aligns with the prompt's instructions.\",\n \"Correctness Details\": {\n \"2021: Brazil, United States, China, Indonesia, India\": true,\n \"2020: Brazil, United States, China, Indonesia, India\": true,\n \"2019: Brazil, United States, China, Indonesia, India\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1381, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 149, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.154} {"qid": "dsfull-600", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5bdd3b30657ec672003bd45a7c4d1ae6b37a910e83905c38d70c37545dc248b2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Ukraine as the country with the greatest overall reduction in reported peak publishers between 2017 and 2023, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Ukraine\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1201, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 87, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.994} {"qid": "dsfull-601", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0591004e49092cebb427b29c821b4aa683dbf804b2017f9c32cfb6457a670d49", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Belgium and Ireland, which are the two countries listed in the correct answer. The AI also provides additional supporting data which is helpful.\",\n \"Correctness Details\": {\n \"Belgium\": true,\n \"Ireland\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1068, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 88, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.162} {"qid": "dsfull-602", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9b468afd30f842e1cd49cfccad008b508810e2bf976495b71eabc75789e71bf0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the South American and African nations from the correct answer list that had more than 3000 immigrants to Japan based on the provided data.\",\n \"Correctness Details\": {\n \"Brazil\": true,\n \"Argentina\": true,\n \"Bolivia\": true,\n \"Peru\": true,\n \"Nigeria\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1002, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 114, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.101} {"qid": "dsfull-603", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e5ac59a58432a326de0ddaee0c2ea10d3bbdf68f4260878ced72f9cd28bf6a7d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both Bristol and Peterborough, which are the two unitary authorities mentioned in the correct answer. It also provides additional context about the political changes within each council, which is helpful but does not introduce excessive answers. The 'Final Answer' explicitly lists the two correct authorities.\",\n \"Correctness Details\": {\n \"Bristol City Council\": true,\n \"Peterborough City Council\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 912, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 119, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.053} {"qid": "dsfull-605", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f53a55db762946a4dcf67c760de93fd78f80a07fbbd1810a56e4d1dd61b9d301", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Trinidad and Tobago' as the answer.\",\n \"Correctness Details\": {\n \"Trinidad and Tobago\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1129, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 68, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.738} {"qid": "dsfull-604", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b5a8fbcc6ee22180b54f4bc780262d8de7a18d042e2c3d2b83757e394a7425f4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all countries listed in the 'Correct Answer': France, Italy, Romania, and Portugal. There are no excessive answers.\",\n \"Correctness Details\": {\n \"France\": true,\n \"Italy\": true,\n \"Romania\": true,\n \"Portugal\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1286, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 100, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.007} {"qid": "dsfull-606", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "501d0d3b737c0c5d00dd818ee12a52104cdb83c4bab0b63f1330a01b072e4035", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the names listed in the correct answer: Liam, Noah, and William. The response explicitly states these names as its answer.\",\n \"Correctness Details\": {\n \"Liam\": true,\n \"Noah\": true,\n \"William\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 919, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 95, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.981} {"qid": "dsfull-608", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9088b0a95520514f1d83d199ed91aa2319f971325023669cde90f47da41a2623", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Oklahoma' as the answer, which matches the provided correct answer. The AI also indicates some uncertainty regarding data retrieval, but this does not detract from the correctness of the answer provided.\",\n \"Correctness Details\": {\n \"Oklahoma\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 883, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 92, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.882} {"qid": "dsfull-607", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "05d8eb91d7390d317e2a5a9c990d59ad312c203fa5df41482b00f3798a968524", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all six countries listed in the correct answer (Bulgaria, Greece, Croatia, Hungary, Portugal, Cyprus). The response also provides additional context with GDP per capita ranks, which is helpful but not part of the requested answer itself.\",\n \"Correctness Details\": {\n \"Bulgaria\": true,\n \"Greece\": true,\n \"Croatia\": true,\n \"Hungary\": true,\n \"Portugal\": true,\n \"Cyprus\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1002, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 139, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.025} {"qid": "dsfull-609", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "497d556ffb9090f83a90993ce03ccd8bbac83e6308ad5354add159b6caf31ae4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three states (Illinois, Ohio, Virginia) that saw a decrease in maple syrup production from 2012 to 2017 while still producing at least 1,000 gallons, as per the correct answer.\",\n \"Correctness Details\": {\n \"Illinois\": true,\n \"Ohio\": true,\n \"Virginia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1055, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 118, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.195} {"qid": "dsfull-610", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4953a1eea85da3be427418c06ba97885f5062cd453a09ff921ab3c852c7e3ac1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified six of the seven states listed in the correct answer: Baden-W\u00fcrttemberg, Bavaria, Berlin, Hesse, Lower Saxony, and North Rhine-Westphalia. However, it missed 'Rhineland-Pfalz (Rhineland)' and included 'Schleswig-Holstein' as an excessive answer.\",\n \"Correctness Details\": {\n \"Baden-W\u00fcrttemberg\": true,\n \"Bayern (Bavaria)\": true,\n \"Berlin\": true,\n \"Hessen (Hesse)\": true,\n \"Niedersachsen (Lower Saxony)\": true,\n \"Nordrhein-Westfalen (North Rhine\u2013Westphalia)\": true,\n \"Rheinland-Pfalz (Rhineland)\": false\n },\n \"Excessive Answers\": [\n \"Schleswig-Holstein\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 956, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 215, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 1, "false_negatives": 1, "precision": 0.8571428571428571, "recall": 0.8571428571428571, "f1": 0.8571428571428571, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.328} {"qid": "dsfull-612", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5550b68308f4d74ae5733f0f465b15e254d49995ee13a129b2fbe9b9b7b24cf5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Iowa' and 'Nebraska' as the states that consistently had a prevalence higher than 4% according to the BRFSS data, matching the correct answer. The response also provides supporting data in a table, which is helpful but not directly part of the answer correctness evaluation.\",\n \"Correctness Details\": {\n \"Iowa\": true,\n \"Nebraska\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1009, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 120, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.052} {"qid": "dsfull-613", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "58e18b582c1560716c2c4297bf9b348ca338576fb76ed41ff0dd87ebbaf5f061", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all five teams that made the least profit (had the largest transfer deficits) in the 2016/17 season, as requested by the prompt. The listed teams match the correct answer exactly.\",\n \"Correctness Details\": {\n \"Manchester City\": true,\n \"Manchester United\": true,\n \"Arsenal\": true,\n \"West Ham United\": true,\n \"Stoke City\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1429, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 131, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.283} {"qid": "dsfull-614", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c9283e08d056995c067f1fd92cbe7ecbd5daf8e74867a7618288291f9a793796", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all three episodes listed in the correct answer: 'Song of the Sirenas', 'The Tides of Change', and 'Two Left Fins'.\",\n \"Correctness Details\": {\n \"Q: The Songs of the Sirenas\": true,\n \"The Tides of Change\": true,\n \"Two Left Fins\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 970, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 112, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.091} {"qid": "dsfull-615", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b0f78e02fcffaada5b91202396e48a37a8d3ac1f4ac45ca9bb3a936571bf9129", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three states listed in the correct answer: New York, Pennsylvania, and Illinois. The response also provides supporting data for each state to justify its inclusion.\",\n \"Correctness Details\": {\n \"New York\": true,\n \"Pennsylvania\": true,\n \"Illinois\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1232, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 101, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.17} {"qid": "dsfull-616", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "34019ea962cfd81d4e7d045682a6c18424072a17eae8aa31eb0285a72afa1f18", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Italy as the country with the largest positive change, which matches the provided correct answer. It also provides supporting data from the OECD and explains the exclusion of other countries.\",\n \"Correctness Details\": {\n \"Italy\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1070, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 88, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.126} {"qid": "dsfull-617", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c091a79e797f2327fb903553aaa676fbc51f3b69a2e80db92804894d16a22e11", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response explicitly states that it is unable to retrieve the necessary data and therefore cannot provide the answer. It does not list any of the correct categories.\",\n \"Correctness Details\": {\n \"Fire\": false,\n \"Regeneration\": false,\n \"Non-reserved Accessible Closing Stock\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 883, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 101, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 3, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.161} {"qid": "dsfull-619", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9d9fa07c51e8a05332c115605e948ac901957ed3c21459901eceb89961db772e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the election years (1980, 1992, 1996) where third-party candidates received more than 6% of the vote in Philadelphia County, aligning with the provided correct answer. It also provides the additional context of the city and its population, which was a part of the prompt's first question, and is helpful.\",\n \"Correctness Details\": {\n \"1980\": true,\n \"1992\": true,\n \"1996\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1118, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 154, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.16} {"qid": "dsfull-611", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6e7ee64df0972efd321d5748386a7df44b4a20492ea87e4350ab1ab36e5cd330", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Incineroar as the Pok\u00e9mon and provides all the base stats for both Incineroar and Pachirisu as they appeared in their respective championship years. It also correctly calculates the total base stats and indicates which Pok\u00e9mon wins in each stat category or if it's a tie, aligning perfectly with the 'Set Answer' prompt type and the provided correct answer. The AI also includes the years and trainers, which is helpful context but not explicitly part of the required 'Set Answer' stats.\",\n \"Correctness Details\": {\n \"Incineror (2018): HP 95 (Win)\": true,\n \"Attack 115 (Win)\": true,\n \"Defense 90 (Win)\": true,\n \"Sp. Atk 80 (Win)\": true,\n \"Sp. Def 90 (Tie)\": true,\n \"Speed 60 (Lose)\": true,\n \"Total 530 (Win)\": true,\n \"Pachirisu (2014) HP 60 (Lose)\": true,\n \"Attack 45 (Lose)\": true,\n \"Defense 70 (Lose)\": true,\n \"Sp. Atk 45 (Lose)\": true,\n \"Sp. Def 90 (Tie)\": true,\n \"Speed 95 (Win)\": true,\n \"Total 405 (Lose)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1373, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 361, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 13, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 3.346} {"qid": "dsfull-618", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ded075e2aab954a544c57f462c7c07b6f3f9e3ad46737c51a7d7b0a2c3536ca2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Tom Brake, which is part of the correct answer. However, it also included Alistair Carmichael as an answer, which is incorrect.\",\n \"Correctness Details\": {\n \"Tom Brake\": true\n },\n \"Excessive Answers\": [\n \"Alistair Carmichael\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1093, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 95, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 1, "false_negatives": 0, "precision": 0.5, "recall": 1.0, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.532} {"qid": "dsfull-620", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "cc1bb1fa8ad224b6c78fe18ccdd171eb77b86894be29e3c6cdd88749b3a9b4ce", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly listed all five individuals who were added to the FBI's Most Wanted list in 2000 or 2001 and were convicted of murder within ten years of their placement.\",\n \"Correctness Details\": {\n \"Jesse James Caston\": true,\n \"Aurlieas Dame McClarty\": true,\n \"Francis William Murphy\": true,\n \"Dwight Bowen\": true,\n \"Felix Summers\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 982, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 135, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.188} {"qid": "dsfull-622", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b1256b3a0d2209c09ac726f701a7b3d657daabe193ac0ed14a4f864c32278219", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three countries listed in the correct answer (Norway, Finland, Iceland) and presents them in the specified order (highest to lowest GDP). It also includes supporting data and reasoning for the exclusion of other Nordic countries.\",\n \"Correctness Details\": {\n \"Norway\": true,\n \"Finland\": true,\n \"Iceland\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1176, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 112, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.004} {"qid": "dsfull-624", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d52ed9987ba6e880ce2334d066c6da8d1ec0551d3d06c661435c3aa894b39d8a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response successfully identified all three reference article titles from the correct answer that contain the word 'ocean'.\",\n \"Correctness Details\": {\n \"Twenty-first century wave climate projections for Ireland and surface winds in the North Atlantic Ocean\": true,\n \"Extreme sea level rise along the Indian Ocean coastline: Observations and 21st century projections\": true,\n \"Response of the North Atlantic storm track to climate change shaped by ocean-atmosphere coupling\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 939, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 134, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.938} {"qid": "dsfull-621", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7553846e30788060fa1a7c26b6e5727cf32f9558b55f86dedbd9687dc0f47659", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the states that meet the criteria: Arizona, Arkansas, Idaho, Michigan, Montana, Nebraska, Nevada, New Mexico, New York, Texas, Utah, and Wyoming. No excessive answers were provided in the final list.\",\n \"Correctness Details\": {\n \"Arizona\": true,\n \"Arkansas\": true,\n \"Idaho\": true,\n \"Michigan\": true,\n \"Montana\": true,\n \"Nebraska\": true,\n \"Nevada\": true,\n \"New Mexico\": true,\n \"New York\": true,\n \"Texas\": true,\n \"Utah\": true,\n \"Wyoming\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1424, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 182, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 12, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.799} {"qid": "dsfull-623", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "bb5a9481a15a769db15775e53271b20eb64609b8d0ccf0997c656388f7f8a1e8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies five of the seven storms from the correct answer list. It misses 'Hurricane Ian (2022)' and 'Hurricane Dennis (1981)'. There are no excessive answers provided by the AI.\",\n \"Correctness Details\": {\n \"Hurricane Ian (2022)\": false,\n \"Hurricane Florence (2018)\": true,\n \"Hurricane Matthew (2016)\": true,\n \"Hurricane Hermine (2016)\": true,\n \"Tropical Storm Beryl (2012)\": true,\n \"Hurricane Dennis (1981)\": false,\n \"Hurricane Dora (1964)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1233, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 192, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 2, "precision": 1.0, "recall": 0.7142857142857143, "f1": 0.8333333333333333, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.269} {"qid": "dsfull-627", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "242d204933e8ed2475866fd7c5b18e574256535d223526cfa2adb1a653d8a9d2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies ArcBest Corporation as the company with the greatest reduction in operating expenses, which matches the correct answer.\",\n \"Correctness Details\": {\n \"ArcBest Corporation\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 883, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 77, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.914} {"qid": "dsfull-626", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a7930b23ee0286f2b3eeb7de1c0021e56ba4e89452e4e80f2e8aa0ad2e49c181", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Hackney and Islington. However, it failed to identify Haringey, Enfield, and Wychavon. Additionally, it included Camden and Tower Hamlets, which are excessive answers not present in the correct answer.\",\n \"Correctness Details\": {\n \"Islington\": true,\n \"Haringey\": false,\n \"Hackney\": true,\n \"Enfield\": false,\n \"Wychavon\": false\n },\n \"Excessive Answers\": [\n \"Camden\",\n \"Tower Hamlets\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1029, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 147, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 2, "false_negatives": 3, "precision": 0.5, "recall": 0.4, "f1": 0.4444444444444445, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.346} {"qid": "dsfull-630", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9c955c60e91359872c311fd00cbd9520bac94b5b4e4c72ae033f6122cf1e839b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies New Hampshire as the answer to the prompt.\",\n \"Correctness Details\": {\n \"New Hampshire\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1141, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 65, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.692} {"qid": "dsfull-629", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9c3556fdee8266b252c0b9a3ef5bdeb269106996c9308c2dd1fa44636539b202", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both the Nyckelharpa and Hardingfele as the national instruments of the countries directly west of the northernmost country (Finland) that has a version of the instrument type (kantele). The response also correctly identifies the countries associated with each instrument.\",\n \"Correctness Details\": {\n \"Nyckelharpa\": true,\n \"Hhardingfele\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1132, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 121, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.402} {"qid": "dsfull-631", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "48503f58c7c73ee74abb4df60db107431c4bf62e35a3836d72714910e324cf23", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Quebec as the province with more valid votes under special voting rules for the given elections. Although it explicitly states it couldn't verify the 40th and 41st election figures, it still arrives at the correct final answer based on the available data.\",\n \"Correctness Details\": {\n \"Quebec\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1101, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 109, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.199} {"qid": "dsfull-633", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7aa9860d519c444db7d990ca54d022c800c63aef10535648cd4a08eab3165799", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the countries listed in the correct answer: South Korea, Austria, Germany, China, Japan, and Hungary. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"South Korea\": true,\n \"Austria\": true,\n \"Germany\": true,\n \"China\": true,\n \"Japan\": true,\n \"Hungary\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1144, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 120, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.118} {"qid": "dsfull-632", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f441517b561a40bd17cb71154a40a00fd4db010fe874fe723ac6cdb8fdd9f4cd", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three tax credit categories that were issued more than $100 million in a single year between 2000 and 2004, matching the correct answer exactly. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Business Recruitment\": true,\n \"Housing\": true,\n \"Redevelopment\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1036, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 116, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.285} {"qid": "dsfull-628", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1317caad5c27def622f77f76b4b478128d1a8a14557ba4439f80ecd657b470d2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Djibouti' as the final answer, which matches the provided correct answer. It also provides a detailed breakdown of the reasoning, including the unemployment rates and labor force data that lead to this conclusion.\",\n \"Correctness Details\": {\n \"Djibouti\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1128, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 96, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.648} {"qid": "dsfull-625", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f007f26dca58e227e5b6fa4259857cd98648652fc28b5e9b8b7f5fa8c413579d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly states that France had the higher combined percentage increase, while the correct answer is the Republic of Korea. The calculations in the provided table are also incorrect for the combined percentage change, as they sum the individual percentage changes, which is not how combined percentage change is typically calculated in a multiplicative sense (e.g., (GDP_2024/GDP_2015 - 1) * 100). However, the prompt specifically instructed to 'add' the percentage increases, and following that instruction with the AI's provided individual percentage increases (8.41% + 19.36% for France and 13.31% + 7.53% for Republic of Korea) yields the combined percentages the AI reported. The error lies in the AI's data retrieval or calculation of the individual percentage changes. Assuming the AI followed its own instruction to add the percentages, France's combined percentage (27.77%) is indeed higher than the Republic of Korea's (20.84%). Therefore, based on the AI's own numbers and the prompt's instruction to add, its conclusion logically follows from its calculation, even if the underlying data/calculations for individual percentages might be flawed. Given the prompt's specific instruction to 'add' the percentages, the AI correctly performed the addition based on its intermediate calculations. The issue is likely with the GDP data values or how the individual percentage changes were derived, leading to an incorrect final country. However, since the task is to evaluate correctness based on the explicit instruction, and the AI followed that instruction with its presented numbers, the ultimate conclusion about which country is higher is consistent with those numbers, even if those numbers themselves are wrong from a real-world data perspective.\",\n \"Correctness Details\": {\n \"Republic of Korea\": false\n },\n \"Excessive Answers\": [\n \"France\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1358, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 427, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 4.267} {"qid": "dsfull-634", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f3dc3b7ff7237580098ffe16a92aa9a52e1b13943a22b16fd69b97c61d44874b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identified Nevada, Texas, Tennessee, and South Carolina. However, it also included Alaska, Arkansas, Oklahoma, South Dakota, and Wyoming as excessive answers, which were not part of the correct set of states.\",\n \"Correctness Details\": {\n \"Nevada\": true,\n \"Texas\": true,\n \"Tennessee\": true,\n \"South Carolina\": true\n },\n \"Excessive Answers\": [\n \"Alaska\",\n \"Arkansas\",\n \"Oklahoma\",\n \"South Dakota\",\n \"Wyoming\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1005, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 148, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 5, "false_negatives": 0, "precision": 0.4444444444444444, "recall": 1.0, "f1": 0.6153846153846153, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.281} {"qid": "dsfull-635", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9c482006e674de7d34137be7ed0094558b450c4bfa40127fc20d1653162ac752", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies South Carolina as the state with the largest decline in the percentage of students taking the ACT compared to five years earlier, for the year with the lowest average composite ACT score (2023).\",\n \"Correctness Details\": {\n \"South Carolina\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 996, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 96, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.05} {"qid": "dsfull-636", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e44384f1482a588a93183e0f0581aca6f647d7d4f38659727d69228a0ce30815", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the 'Department of Education' as the cabinet department with a monetary increase in budget requests every year from 2018 to 2021, aligning with the correct answer.\",\n \"Correctness Details\": {\n \"Education department\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1162, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 94, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.114} {"qid": "dsfull-637", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4efa8f81cd0e25471f46c2f473c5a098315d3b12a3fb75e496fc211a6f1c3583", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response recommended UH Hilo, which contradicts the correct answer, University of Colorado Boulder. The AI failed to identify the correct school based on the user's criteria, particularly regarding the performing arts program and acreage. While the prompt states to prioritize Oslo/Broadway experience, if not available, other requirements should be met, and CU Boulder better fits the other stated criteria.\",\n \"Correctness Details\": {\n \"University of Colorado Boulder\": false\n },\n \"Excessive Answers\": [\n \"UH Hilo\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1198, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 138, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.419} {"qid": "dsfull-638", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6010b7e2e521a7ad0b39b89bf581aa409356fa04dc736a9d935c5e9e54fd4ffd", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Evergreen State Bank' as the answer.\",\n \"Correctness Details\": {\n \"Evergreen State Bank\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 898, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 68, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.875} {"qid": "dsfull-640", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e75fb5f156c3b8a50e0ab0308a077ed12ed6f6460a2099b2b1f19a2d0c76444c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Butterfly dock (Petasites hybridus)' which is the correct answer. It also provides additional helpful context and sources.\",\n \"Correctness Details\": {\n \"Butterfly dock (Petasites hybridus)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 923, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 88, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.887} {"qid": "dsfull-639", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "34bf3bb2af8afacc0a6d37a6b49751d8651e0fa1c7b3d8e3b3d8f131eb6df202", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the birthday as April 27, 2015, which matches the correct answer. The AI also provides additional context about the condor and its parents, which is relevant and accurate but not directly part of the requested answer.\",\n \"Correctness Details\": {\n \"April 27th, 2015\": true\n },\n \"Excessive Answers\": [\n \"Condor 800\",\n \"Condor 330\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1039, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 136, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 2, "false_negatives": 0, "precision": 0.3333333333333333, "recall": 1.0, "f1": 0.5, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.162} {"qid": "dsfull-643", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1321c3cbe8f500925d84b5c377c36e9446280506714da5a99cccc8370a77e827", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies Ghana as the country with the highest change, whereas the correct answer is Sudan. The response provides detailed information for Ghana but this does not align with the correct answer.\",\n \"Correctness Details\": {\n \"Sudan\": false\n },\n \"Excessive Answers\": [\n \"Ghana\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 929, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 97, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.008} {"qid": "dsfull-642", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d4947f006a956f3663824dae989a0be883b59daae7fa6b35d7ebadb932a39be3", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all six states bordering Oklahoma that experienced an EF2 or higher magnitude tornado in 2019, which matches the provided correct answer. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Texas\": true,\n \"Kansas\": true,\n \"Missouri\": true,\n \"Arkansas\": true,\n \"New Mexico\": true,\n \"Colorado\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 920, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 125, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.171} {"qid": "dsfull-644", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7aad8d017d88db9433e2dee89611568cb0e4953b9819849ef7e8e82a184729d8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 1929 and 1992 as the years of the most recent World Expos for cities on the Iberian Peninsula that are not national capitals, aligning with the provided correct answer. It also correctly names the cities (Barcelona and Seville) and provides additional context, but the core numerical answers are present.\",\n \"Correctness Details\": {\n \"1929\": true,\n \"1992\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 994, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 131, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.316} {"qid": "dsfull-647", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "bd37622fe3f3db0cab1c9862fc31e16a3daddfd2644fc1a47a6e4243eef1c376", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly states that 2022 was the year SIL Global partnered with the most language communities, whereas the correct answer is 2023.\",\n \"Correctness Details\": {\n \"2023\": false\n },\n \"Excessive Answers\": [\n \"2022\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 857, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 98, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.066} {"qid": "dsfull-646", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "86ba550de5d1d4c96cc7e8daecea88755ca35b29e04df6c747feb4ff8338eb62", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both the University of Adelaide and the University of Western Australia as per the prompt's criteria. Both universities are listed with their respective locations and qualifying rankings, along with confirmation that they are outside the top 100 in ARWU 2023.\",\n \"Correctness Details\": {\n \"The University of Adelaide\": true,\n \"The University of Western Australia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1060, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 122, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.395} {"qid": "dsfull-641", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9f53652150ce104198247b997eb15ae76b7cbc2822b1aa588b82527a8e86f34b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response provided 19 schools, many of which are correct and appear in the provided 'Correct Answer'. However, it missed several schools from the correct answer list, specifically: 'St John's College', 'St Mary's School', 'St Martin's School', and 'St Stithians' (it listed St Stithians, but the correct answer has 'St Stithians' as a general entry and the response has 'St Stithians' which is not as specific). It also included 'St Martin\u2019s College' which appears to be a slight variation of 'St Martin's School' but without confirmation, I am treating it as a new entity for now. I am also treating 'St Mary\u2019s School, Waverley' as a match to 'St Mary's School' from the correct answer. I am also matching 'Roedean School for Girls' to 'Rodean Shcool'. 'St Andrew\u2019s School for Girls, Senderwood' is matched to 'St Andrew's School for Girls'. 'St Peter\u2019s College, Sunninghill' is matched to 'St Peter's College'. It also incorrectly identified some schools like 'St John's College' as not taking girls when it does, and 'St Martin's School' as not taking girls which it does. Thus, the response missed some correct answers.\",\n \"Correctness Details\": {\n \"Rodean Shcool\": true,\n \"St John's College\": false,\n \"St Mary's School\": true,\n \"St Andrew's School for Girls\": true,\n \"St Stithians\": true,\n \"St Martin's School\": true,\n \"Crawford College Sandton\": true,\n \"St Mary's Waverley\": true,\n \"King David High School\": true,\n \"Kingsmead College\": true,\n \"Cedarwood School\": true,\n \"Redhill School\": true,\n \"Crawford College Lonehill\": true,\n \"SAHETI\": true,\n \"Crawford College Pretoria\": true,\n \"Beaulieu College\": true,\n \"Brescia House\": true,\n \"St Peter's College\": true,\n \"Holy Rosary School\": true,\n \"Michael Mount Waldorf School\": true,\n \"Crawford College Ruimsig\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1181, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 550, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 20, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.9523809523809523, "f1": 0.975609756097561, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 3.22} {"qid": "dsfull-650", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e15439b3e743e512ca7ede17b5e8f6fa25d39f46ef931f81d4260919b31b9a5f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the states listed in the correct answer: Colorado, Montana, North Carolina, Oregon, and Texas. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Colorado\": true,\n \"Montana\": true,\n \"North Carolina\": true,\n \"Oregon\": true,\n \"Texas\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1081, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 111, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.102} {"qid": "dsfull-648", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "468bdee5dcbe54a6a8d0fa189fc77b072fbf4bb4e3ff6c7c64b8f0d2c8ae3745", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 2010 and 2013 as years meeting the criteria. However, it missed the year 2016, which is part of the correct answer.\",\n \"Correctness Details\": {\n \"2010\": true,\n \"2013\": true,\n \"2016\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 898, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 115, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.6666666666666666, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.938} {"qid": "dsfull-649", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "82a58d8f577393d1a259814ed0ff80931d5f5a49eb93893afe8da6016fe13f0e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all countries from the provided list that meet the criteria. It includes a table with supporting data for each country and then lists all five countries as the final answer, which matches the correct answer exactly.\",\n \"Correctness Details\": {\n \"Ecuador\": true,\n \"Peru\": true,\n \"Colombia\": true,\n \"Bolivia\": true,\n \"Paraguay\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1185, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 126, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.472} {"qid": "dsfull-652", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "fb64104677b6a228973a6b643a9668a8526f5d1782aad10011f0c9044759009e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Burundi' as the answer.\",\n \"Correctness Details\": {\n \"Burundi\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1027, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 64, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.904} {"qid": "dsfull-651", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "86309c1a75d58a37b304f6636bd696496b2f83b2e4a8af270048579cd46d45f6", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Bryum argenteum, Bryum pseudotriquetrum, and Polytrichum juniperinum. However, it listed 'Pohlia wahlenbergii' instead of the correct 'pohlia nutans'.\",\n \"Correctness Details\": {\n \"Bryum argenteum\": true,\n \"Bryum pseudotriquetrum\": true,\n \"pohlia nutans\": false,\n \"Polytrichum juniperinum\": true\n },\n \"Excessive Answers\": [\n \"Pohlia wahlenbergii\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1035, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 154, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 1, "false_negatives": 1, "precision": 0.75, "recall": 0.75, "f1": 0.75, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.577} {"qid": "dsfull-653", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "043cf9cc01fed4c2fdaed065475985c27553ae320b672525296c2508318a651e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three candidates from the correct answer with their respective vote counts. The prompt asked for the three candidates with the least number of votes, and the AI provided exactly that information.\",\n \"Correctness Details\": {\n \"S\u00e9bastien CoRhino (24)\": true,\n \"Dwayne Cappelletti (76)\": true,\n \"Keith Komar (135)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1157, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 128, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.48} {"qid": "dsfull-654", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a4d3912220d9b7f66ca34f2c7aa9fe5835ca906d83ffd0fc972f2a48039b173c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the non-native bird species listed in the correct answer and presents them in alphabetical order.\",\n \"Correctness Details\": {\n \"Chukar\": true,\n \"Eurasian Collared-Dove\": true,\n \"European Starling\": true,\n \"House Sparrow\": true,\n \"Rock Pigeon\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1073, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 113, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.744} {"qid": "dsfull-655", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0122a7e16e53b6d854e189b53dfc95f6d9c2f2a28724e6c48c478f4f2d2b4bff", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Sacramento Mountains Checkerspot Butterfly' as the answer, which matches the provided correct answer. It also provides supporting details and references.\",\n \"Correctness Details\": {\n \"Sacramento Mountains Checkerspot Butterfly\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1078, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 89, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.99} {"qid": "dsfull-657", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "232a9a5c37836db6d4945265cd9d796226d62921635dfc607d0ab40ec05b1588", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Karthus' as the champion picked most often by the losing team's top laner, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Karthus\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 875, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 84, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.749} {"qid": "dsfull-656", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b0f83f04cf7f94141575bb704e8044e49ac77ffbd4821da35a10a70288c1b037", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the days for each of the three requested categories. The formatting of ranges like '2\u20136' is a concise way to represent the individual days '2, 3, 4, 5, 6'. The counts in parentheses are also accurate.\",\n \"Correctness Details\": {\n \"Days with a high temperature of at least 100 degrees Fahrenheit: August 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 18, 19, 20, 21, 22, 23, 24, 25, 26\": true,\n \"Days with a low temperature of at least 80 degrees Fahrenheit: August 4, 10, 11, 12\": true,\n \"Days with both a high temperature below 100 degrees Fahrenheit and a low temperature below 80 degrees Fahrenheit: 1, 7, 8, 15, 16, 17, 27, 28, 29, 30, 31\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1196, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 301, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.698} {"qid": "dsfull-658", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a7cec508f5aaba3b24992d14dbb894acd85cdbba2400ca79d8bcb94c3c54f142", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the states from the correct answer list: California, South Carolina, and Texas. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Texas\": true,\n \"California\": true,\n \"South Carolina\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 944, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 93, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.022} {"qid": "dsfull-659", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a1580123a3bb2040ec23ac6584ff9a1f6f5ec9f35165cb792743579b6712e50d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both the BU8000 Crystal UHD 4K Smart TV (2022) and the Q70B QLED 4K Smart TV (2022) as having lower typical power consumption, which matches the provided correct answer. The AI also correctly excludes the OLED S95B.\",\n \"Correctness Details\": {\n \"BU8000 Crystal UHD 4K Smart TV (2022)\": true,\n \"Q70B QLED 4K Smart TV (2022)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1010, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 160, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.442} {"qid": "dsfull-660", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "bf25ece2a6222aa5837939351f190d10f08fdf02e54b3c293168541cd31e904b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Aritzia as the company with the larger percentage change in COGS from fiscal 2022 to 2023. The additional information about the inability to retrieve reports and verify figures does not detract from the correctness of the answer itself.\",\n \"Correctness Details\": {\n \"Aritzia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 887, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 108, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.156} {"qid": "dsfull-661", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "951e5164768362062d9de3cc0af97d76f2796b86ddada4f965c6a71e41917274", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identified Harewood as the ward with the lowest share, while the correct answer is Coastal.\",\n \"Correctness Details\": {\n \"Coastal\": false\n },\n \"Excessive Answers\": [\n \"Harewood\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 889, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 81, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.008} {"qid": "dsfull-662", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "01c33c485fcc64d11fe746bb9fb3779fa1c3086c174d0540cf7eb7c7e464c2c1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response states '2', but the correct answer is '3'. Therefore, the AI response is incorrect.\",\n \"Correctness Details\": {\n \"3\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1037, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 73, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 0.828} {"qid": "dsfull-645", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a299114663d010447f0acc72e0a0dc2aa63c0740818887bcfcffa7e5dcbb4520", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response successfully listed all 69 plants from the NYS Prohibited list, matching the provided correct answer exactly. The response did not include any excessive answers.\",\n \"Correctness Details\": {\n \"Acer pseudoplatanus, Sycamore Maple\": true,\n \"Achyranthes japonica, Japanese Chaff Flower\": true,\n \"Alliaria petiolata, Garlic Mustard\": true,\n \"Ampelopsis brevipedunculata, Porcelain Berry\": true,\n \"Anthriscus sylvestris, Wild Chervil\": true,\n \"Aralia elata, Japanese Angelica Tree\": true,\n \"Artemisia vulgaris, Mugwort\": true,\n \"Arthraxon hispidus, Small Carpet Grass\": true,\n \"Berberis thunbergii, Japanese Barberry\": true,\n \"Brachypodium sylvaticum, Slender False Brome\": true,\n \"Cabomba caroliniana, Fanwort\": true,\n \"Cardamine impatiens, Narrowleaf Bittercress\": true,\n \"Celastrus orbiculatus, Oriental Bittersweet\": true,\n \"Centaurea stoebe (C. biebersteinii, C. diffusa, C. maculosa misapplied, C. xpsammogena), Spotted Knapweed\": true,\n \"Cirsium arvense (C. setosum, C. incanum, Serratula arvensis), Canada Thistle\": true,\n \"Cynanchum louiseae (C. nigrum, Vincetoxicum nigrum), Black Swallow-wort\": true,\n \"Cynanchum rossicum (C. medium, Vincetoxicum medium, V. rossicum), Pale Swallow-wort\": true,\n \"Dioscorea polystachya (D. batatas), Chinese Yam\": true,\n \"Dipsacus laciniatus, Cut-leaf Teasel\": true,\n \"Egeria densa, Brazilian Waterweed\": true,\n \"Elaeagnus umbellata, Autumn Olive\": true,\n \"Euphorbia cyparissias, Cypress Spurge\": true,\n \"Euphorbia esula, Leafy Spurge\": true,\n \"Ficaria verna (Ranunculus ficaria), Lesser Celandine\": true,\n \"Frangula alnus (Rhamnus frangula), Smooth Buckthorn\": true,\n \"Glyceria maxima, Reed Manna Grass\": true,\n \"Heracleum mantegazzianum, Giant Hogweed\": true,\n \"Humulus japonicus, Japanese Hops\": true,\n \"Hydrilla verticillata, Hydrilla/ Water Thyme\": true,\n \"Hydrocharis morsus-ranae, European Frogbit\": true,\n \"Imperata cylindrica (I. arundinacea, Lagurus cylindricus), Cogon Grass\": true,\n \"Iris pseudacorus, Yellow Iris\": true,\n \"Lepidium latifolium, Broad-leaved Pepper-grass\": true,\n \"Lespedeza cuneata, Chinese Lespedeza\": true,\n \"Ligustrum obtusifolium, Border Privet\": true,\n \"Lonicera japonica, Japanese Honeysuckle\": true,\n \"Lonicera maackii, Amur Honeysuckle\": true,\n \"Lonicera morrowii, Morrow's Honeysuckle\": true,\n \"Lonicera tatarica, Tartarian Honeysuckle\": true,\n \"Lonicera x bella, Fly Honeysuckle\": true,\n \"Ludwigia hexapetala (L. grandiflora), Uruguayan Primrose Willow\": true,\n \"Ludwigia peploides, Floating Primrose Willow\": true,\n \"Lysimachia vulgaris, Garden Loosestrife\": true,\n \"Lythrum salicaria, Purple Loosestrife\": true,\n \"Microstegium vimineum, Japanese Stilt Grass\": true,\n \"Murdannia keisak, Marsh Dewflower\": true,\n \"Myriophyllum aquaticum, Parrot-feather\": true,\n \"Myriophyllum heterophyllum, Broadleaf Water-milfoil\": true,\n \"Myriophyllum heterophyllum x M. laxum, Broadleaf Water-milfoil Hybrid\": true,\n \"Myriophyllum spicatum, Eurasian Water-milfoil\": true,\n \"Nymphoides peltata, Yellow Floating Heart\": true,\n \"Oplismenus hirtellus, Wavyleaf Basketgrass\": true,\n \"Persicaria perfoliata (Polygonum perfoliatum), Mile-a-minute Weed\": true,\n \"Phellodendron amurense, Amur Cork Tree\": true,\n \"Phragmites australis, Common Reed Grass\": true,\n \"Phyllostachys aurea, Golden Bamboo\": true,\n \"Phyllostachys aureosulcata, Yellow Groove Bamboo\": true,\n \"Potamogeton crispus, Curly Pondweed\": true,\n \"Pueraria montana, Kudzu\": true,\n \"Reynoutria japonica (Fallopia japonica, Polygonum cuspidatum), Japanese Knotweed\": true,\n \"Reynoutria sachalinensis (Fallopia sachalinensis, Polygonum sachalinensis), Giant Knotweed\": true,\n \"Reynoutria x bohemica (Fallopia x bohemica, Polygonum x bohemica), Bohemian Knotweed\": true,\n \"Rhamnus cathartica, Common Buckthorn\": true,\n \"Rosa multiflora, Multiflora Rose\": true,\n \"Rubus phoenicolasius, Wineberry\": true,\n \"Salix atrocinerea, Gray Florist's Willow\": true,\n \"Silphium perfoliatum, Cup-plant\": true,\n \"Trapa natans, Water Chestnut\": true,\n \"Vitex rotundifolia, Beach Vitex\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 2138, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 1356, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 69, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 7.022} {"qid": "dsfull-664", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6a61887b81a5cef8b330b3c4384d54f2be538367c18804cddaa03cec2815ee85", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all four countries (Belgium, Canada, Czech Republic, and the United States) that meet all the specified criteria. It also provides a table with supporting data for each country.\",\n \"Correctness Details\": {\n \"Canada\": true,\n \"Belgium\": true,\n \"the United States of America\": true,\n \"the Czech Republic\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1101, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 117, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.296} {"qid": "dsfull-663", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5e6aa4175432499af16353b98ef7b98e8420b65a445caa5d50d9ce1f2438978d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the last names of the cited authors as requested in the prompt. It also provided them in alphabetical order and separated by semicolons which is acceptable instead of commas.\",\n \"Correctness Details\": {\n \"Camhi\": true,\n \"Cortes\": true,\n \"Goldman\": true,\n \"Gruber\": true,\n \"Hoenig\": true,\n \"Jensen\": true,\n \"King\": true,\n \"McFarlane\": true,\n \"Rose\": true,\n \"Winemiller\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1003, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 160, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 10, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.631} {"qid": "dsfull-667", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "58632bfc78798c48dabb5554cc422b02e1a2432f7485b391986b79b95af71d3f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both the day and time for the last executive order in 2023 and the first in 2024, matching the provided correct answer exactly. There are no excessive answers.\",\n \"Correctness Details\": {\n \"12/22/2023 (11:15)\": true,\n \"02/02/2024 (08:45)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 998, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 133, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.098} {"qid": "dsfull-665", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "cdcd6c85b97237f0f5ace9b691f88e968d86179c88b88fbb3a9c0e4dafc5e495", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the P600 mountains south of Glasgow as listed in the correct answer. It also included 'Moel Siabod', which it correctly noted is no longer a P600 mountain, but was on the 2018 list it referenced.\",\n \"Correctness Details\": {\n \"Goat Fell\": true,\n \"Broad Law\": true,\n \"Merrick\": true,\n \"Cross Fell\": true,\n \"Skiddaw\": true,\n \"Helvellyn\": true,\n \"Scafell Pike\": true,\n \"Carnedd Llewelyn\": true,\n \"Glyder Fawr\": true,\n \"Snowdon - Yr Wyddfa\": true,\n \"Aran Fawddwy\": true,\n \"Cadair Idris-Penygadair\": true,\n \"Waun Fach\": true,\n \"Pen y Fan\": true\n },\n \"Excessive Answers\": [\n \"Moel Siabod\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1076, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 250, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 14, "false_positives": 1, "false_negatives": 0, "precision": 0.9333333333333333, "recall": 1.0, "f1": 0.9655172413793104, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.674} {"qid": "dsfull-668", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "791d779aba5d64cd8689cd151724fe738de419fbff8e391f5facc9607e204c34", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three names listed in the correct answer: Michael, Jason, and Christopher. The response does not include any excessive answers.\",\n \"Correctness Details\": {\n \"Michael\": true,\n \"Christopher\": true,\n \"Jason\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 856, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 94, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.979} {"qid": "dsfull-670", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e5fa988488b6d6193843b1bfde14838f9b55515a1531dc576b263d5ca1dbd48e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly lists the companies in the order of highest to lowest percentage change in property, plant, and equipment, matching the correct answer exactly.\",\n \"Correctness Details\": {\n \"Globus Medical, Inc.\": true,\n \"Inspire Medical Systems, Inc.\": true,\n \"Axonics, Inc.\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 891, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 109, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.917} {"qid": "dsfull-669", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c01d59549515a3d774c2747498ce6dbe6ddc2a24d549475a22f77d23c5ac5209", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both 'City of Austin v. Reagan National Advertising of Austin Inc.' and 'Hemphill v. New York' which are the two cases listed in the correct answer. The AI also provides additional information for each case which is not excessive.\",\n \"Correctness Details\": {\n \"City of Austin v. Reagan National Advertising of Austin Inc.\": true,\n \"Hemphill v. New York\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1214, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 128, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.275} {"qid": "dsfull-671", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e700f7e0800d1df9c4fe349467512e430d6b83f2f0ec2de72eda13aad37f8515", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified the '2024 Honda Odyssey Elite Minivan' as the answer, which matches the provided correct answer. The AI's response also specifies '4D', which is a minor additional detail but does not make the core answer incorrect.\",\n \"Correctness Details\": {\n \"2024 Honda Odyssey Elite Minivan\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1209, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 112, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.161} {"qid": "dsfull-666", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3b6219c39d98eab3ef9cbc2bc2f259a9447ec7e85c20b71bc9989ff2df43c23c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response accurately provides all the top 10 worst passwords for each year (2019, 2020, 2021, and 2022) as specified in the correct answer. There are no excessive answers.\",\n \"Correctness Details\": {\n \"2019 \u2013 Top 10 worst passwords\\n1. 12345\\n2. 123456\\n3. 123456789\\n4. test1\\n5. password\\n6. 12345678\\n7. zinch\\n8. g_czechout\\n9. asdf\\n10. qwerty\": true,\n \"2020 \u2013 Top 10 worst passwords\\n1. 123456\\n2. 123456789\\n3. picture1\\n4. password\\n5. 12345678\\n6. 111111\\n7. 123123\\n8. 12345\\n9. 1234567890\\n10. senha\": true,\n \"2021 \u2013 Top 10 worst passwords\\n1. 123456\\n2. 123456789\\n3. 12345\\n4. qwerty\\n5. password\\n6. 12345678\\n7. 111111\\n8. 123123\\n9. 1234567890\\n10. 1234567\": true,\n \"2022 \u2013 Top 10 worst passwords\\n1. password\\n2. 123456\\n3. 123456789\\n4. guest\\n5. qwerty\\n6. 12345678\\n7. 111111\\n8. 12345\\n9. col123456\\n10. 123123\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 2084, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 571, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.764} {"qid": "dsfull-672", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e701696af1a518effc2315a58db63b3bf6fce1d44a589ac6bae48012d2a70a8a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified that sucrose decreases and calculated the difference as 2.08 grams, matching the correct answer. It also correctly sourced the information from USDA FoodData Central.\",\n \"Correctness Details\": {\n \"Sucrose: - 2.08 grams\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1111, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 96, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.118} {"qid": "dsfull-673", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7bb398c7c99d2945de6bf94a320031c006f846c68acd4f14095c89df616fa1e5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all three countries listed in the correct answer: Myanmar, Afghanistan, and China. The table and the final answer explicitly list these countries.\",\n \"Correctness Details\": {\n \"Myanmar\": true,\n \"Afghanistan\": true,\n \"China\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1157, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 96, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.953} {"qid": "dsfull-676", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6a97ec97aabc066ec8b6170b3f1b4f91ec0056a39fdebb8188ba72628e2a113b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Lialis' as the northernmost genus of the sister family to the family with the least total species diversity, which aligns with the correct answer.\",\n \"Correctness Details\": {\n \"Lialis\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 959, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 86, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.881} {"qid": "dsfull-675", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ae83284e0cf934c1cde3de39eeec028ba8e8aead47e6113f79d87d64608ceb7c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified California and Texas but incorrectly included New York as meeting the criteria.\",\n \"Correctness Details\": {\n \"California\": true,\n \"Texas\": true\n },\n \"Excessive Answers\": [\n \"New York\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 909, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 84, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 0, "precision": 0.6666666666666666, "recall": 1.0, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.017} {"qid": "dsfull-674", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0c885c0527dc9e64e2c265c2e4050ab18612ba9b171b161703c8718f547abe60", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all five individuals listed in the correct answer (Damien Fair, Leah Somerville, Eva Telzer, Dylan Gee, and Kate Mills) and presents them clearly in both a table and a 'Final Answer' section. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Damien Fair\": true,\n \"Leah Somerville\": true,\n \"Eva Telzer\": true,\n \"Dylan Gee\": true,\n \"Kate Mills\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1093, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 140, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.316} {"qid": "dsfull-677", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "37a554c890ce14e48cb8e02faea6f49f24f3359425a4c7e5f5dc2bc7bcad2af2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies that no films meet all the specified criteria, aligning with the 'None' provided in the correct answer. The AI also provides a detailed breakdown of why certain films that might initially seem to fit the criteria actually do not, which adds strong support to its final conclusion.\",\n \"Correctness Details\": {\n \"None\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1233, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 108, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.21} {"qid": "dsfull-678", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b200d32cf4519b889343c79b73541070c0074df7a310fc64f128f5acc845c315", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the elementary schools listed in the 'Correct Answer' that had less than 70% of students with regular attendance in District 7 of Seattle Public Schools for the 2021-22 school year, excluding K-8 schools. The response provides a clear table and explicitly lists the schools, matching the ground truth exactly.\",\n \"Correctness Details\": {\n \"Dunlap Elementary School\": true,\n \"Emerson Elementary School\": true,\n \"Graham Hill Elementary School\": true,\n \"Martin Luther King Jr. Elementary School\": true,\n \"Wing Luke Elementary School\": true,\n \"Rainier View Elementary School\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1152, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 181, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.364} {"qid": "dsfull-681", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "08454d81f5e496493ce1217dc2ff0be110dae2e679a94aae3015e2f693b039c5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both 'Nick Clegg' and 'Tom Brake' as the MPs who meet all the criteria specified in the prompt. The response also provides supporting details for each MP.\",\n \"Correctness Details\": {\n \"Nick Clegg\": true,\n \"Tom Brake\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1125, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 97, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.96} {"qid": "dsfull-680", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "cc8d83e2af835139905f59cb4a5274527fc8a5279f2257927ee6f47e44d993ff", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'ANTH 190 (Special Topics in Anthropology I)' as the course that meets the criteria, which matches the provided correct answer. It also provides the university name which is helpful additional context.\",\n \"Correctness Details\": {\n \"ANTH 190 (Special Topics in Anthropology I)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 948, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 106, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.101} {"qid": "dsfull-679", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1981fe8a2b3b112f8d81194441c1959e202173f55fe3c8520e44bf5acd28baba", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all six former Vice Presidents who ran for President and won, and accurately states their branches of military service. The response also correctly notes that there are six such individuals.\",\n \"Correctness Details\": {\n \"Thomas Jefferson served in the Virginia Militia\": true,\n \"Theodore Roosevelt served in the US Army\": true,\n \"Harry Truman served in the US Army\": true,\n \"Richard Nixon served in the US Navy\": true,\n \"Lyndon Johnson served in the US Navy\": true,\n \"George HW Bush served in the US Navy\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1090, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 162, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.423} {"qid": "dsfull-682", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f86f58ade5b59ac4a8b215990900e0e2ae4a9cdfd4685b21f26e58f65e54f4ea", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The correct answer according to the Bureau of Transportation Statistics is DEN. The AI response did not provide DEN. Instead, it provided SEA and PHX, which are incorrect based on the provided correct answer.\",\n \"Correctness Details\": {\n \"DEN\": false\n },\n \"Excessive Answers\": [\n \"SEA\",\n \"PHX\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 977, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 104, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 2, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 0.904} {"qid": "dsfull-683", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d4ea6b5f211c5bdc943b2e3f51ba748e95d7412d3e50370437f0b8335ed73d15", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both Colombia and Costa Rica, which are the correct answers. The response also provided a detailed breakdown of how each country meets the specified criteria.\",\n \"Correctness Details\": {\n \"Colombia\": true,\n \"Costa Rica\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1404, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 91, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.215} {"qid": "dsfull-686", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "370dc017c90f7255c945e6bf8bdcf36312e8da61c7b3a57da7d519fd939b3beb", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three countries (Denmark, Iceland, and Sweden) that meet the criteria. It also provides the supporting data from the World Happiness Report and Eurostat, demonstrating how it arrived at the answer. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Denmark\": true,\n \"Iceland\": true,\n \"Sweden\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1071, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 114, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.057} {"qid": "dsfull-687", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "073c2a6ce94deada73241d15a4c24a9008f1dc71db6cd6bfdd7e1c43fef6abc3", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all three parties: National Party, Labour Party, and ACT New Zealand. The response explicitly lists these parties as 'Final Answer: ACT New Zealand; Labour Party; National Party'.\",\n \"Correctness Details\": {\n \"National Party\": true,\n \"Labour Party\": true,\n \"ACT\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1174, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 108, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.183} {"qid": "dsfull-685", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "81d6e2e5695d7a4eb598c09980fe9b3a0342aa74d98042a713d0287a135362d7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Oral and Maxillofacial Surgeons' which matches the provided correct answer for a single answer prompt.\",\n \"Correctness Details\": {\n \"Oral and Maxillofacial Surgeons\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 935, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 80, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.019} {"qid": "dsfull-688", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9c0f9f1539bba0cf83ac0e292ba7b6e77f1eec854e73f0e07c87736ec75651e4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all seven states that meet the specified criteria.\",\n \"Correctness Details\": {\n \"Kentucky\": true,\n \"Wyoming\": true,\n \"Montana\": true,\n \"Arkansas\": true,\n \"Nebraska\": true,\n \"Wisconsin\": true,\n \"Utah\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1200, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 108, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 7, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.034} {"qid": "dsfull-689", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "56855c8043f71e2230287ee3f2e000dd2c533425e441f9f1ca36d3b7249d40e3", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three countries: United States, Germany, and France, which match the provided correct answer. It also provides a table that supports its findings.\",\n \"Correctness Details\": {\n \"United States\": true,\n \"Germany\": true,\n \"France\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1113, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 99, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.08} {"qid": "dsfull-690", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "52d2bb03e3900df578970b410793f43a487dda6a57a2b4128533f9d1b1f2a553", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both incident numbers '11120831' and '14018336' which are present in the correct answer.\",\n \"Correctness Details\": {\n \"11120831\": true,\n \"14018336\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1055, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 108, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.041} {"qid": "dsfull-691", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e52a7a386e7b152fba5df8b9236090be0f6df263b19e62dd9342e2c8762156db", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Kiribati but missed Solomon Islands, which is also part of the correct set answer. The AI only found one of the two expected countries.\",\n \"Correctness Details\": {\n \"Solomon Islands\": false,\n \"Kiribati\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1080, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 95, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.5, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.964} {"qid": "dsfull-692", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "01773ad0dbb5c3788b99cff1951c22ef13ba0d5df53d614ed19361efdcf384c7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Musser Fruit Research Farm' as the farm that produced the largest peach, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Musser Fruit Research Farm\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 865, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 81, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.088} {"qid": "dsfull-693", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1fcc680b4492b889d0ba32753276912435d4abef8d71f995fd85abcf6d586805", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response failed to identify the correct years, providing 2010, 2011, 2012, and 2013, while the correct answer is 2012 and 2021. Only 2012 was common in both.\",\n \"Correctness Details\": {\n \"2012\": true,\n \"2021\": false\n },\n \"Excessive Answers\": [\n \"2010\",\n \"2011\",\n \"2013\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 923, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 154, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 3, "false_negatives": 1, "precision": 0.25, "recall": 0.5, "f1": 0.3333333333333333, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.52} {"qid": "dsfull-694", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "78e170aa1cf9258c1600b434372c124c79ca09b4e28d224cf31f540f891e0533", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both Ronald Acu\u00f1a Jr. and Matt Olson, which are the only two players that meet the criteria. The additional information provided about their stats and sources is helpful, and the caveat about not being able to confirm PA totals against right-handed pitchers is transparent.\",\n \"Correctness Details\": {\n \"Ronald Acu\u00f1a Jr.\": true,\n \"Matt Olson\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1091, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 119, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.455} {"qid": "dsfull-696", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "cc8b4020b3d4431f223f2b4d2571a9fd8783ce547664fb61a5df5ee2095a9c68", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all three subgroups (Non-binary, In Foster Care, American Indian or Alaska Native) that meet the specified criteria and presented them in the correct order of least to highest total enrolled students.\",\n \"Correctness Details\": {\n \"Non-binary\": true,\n \"In Foster Care\": true,\n \"American Indian or Alaska Native\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1030, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 115, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.195} {"qid": "dsfull-695", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "19be5b49fc42dcb3169b88ff7a1f7ec8b40a50ca6d600bf7bac283d2edad6609", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the Optima as the model that meets both criteria: 70L fuel capacity and an MSRP under $24,000 CAD. It specifically mentions the '2018 Kia Optima LX' and provides the exact MSRP and fuel tank size, which matches the expected answer.\",\n \"Correctness Details\": {\n \"Optima\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 916, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 116, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.554} {"qid": "dsfull-698", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1a155d9b94cda3b16d40497bec4a9954177f431ba3634af7c3fbbabd544ecafb", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identified Oceania as the continent and listed countries from Oceania. The correct continent is South America, and the correct answer should list countries from South America that meet the specified criteria.\",\n \"Correctness Details\": {\n \"Paraguay\": false,\n \"Guyana\": false,\n \"Ecuador\": false,\n \"Bolivia\": false,\n \"Suriname\": false,\n \"Peru\": false,\n \"Colombia\": false\n },\n \"Excessive Answers\": [\n \"Papua New Guinea\",\n \"Kiribati\",\n \"Solomon Islands\",\n \"Marshall Islands\",\n \"Fiji\",\n \"Tonga\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1084, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 179, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 6, "false_negatives": 7, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.246} {"qid": "dsfull-699", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d34d589c1e0dd87e0415d861da2444250cb420cc4fb0264ee48c90ee1f20189a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies South Sudan as the country with the lowest life expectancy among low-income countries with a female labor force participation rate above 70% in 2017, aligning with the provided correct answer.\",\n \"Correctness Details\": {\n \"South Sudan\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1048, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 97, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.986} {"qid": "dsfull-697", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0bea17275dde75f7419dea16239fd7258fa5c7f5d6af179242edf129b04161cf", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the years specified in the correct answer. It also provides a table to show the changes, which is helpful. The years 2004, 2005, 2006, 2012, 2016, and 2018 are all present and correct.\",\n \"Correctness Details\": {\n \"2004\": true,\n \"2005\": true,\n \"2006\": true,\n \"2012\": true,\n \"2016\": true,\n \"2018\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1225, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 175, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.537} {"qid": "dsfull-700", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "32ff98182448095cb210b316d0c4b89a05426b864f913dac471c5f39bf8208f6", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Belarus as the country that meets both criteria: giving women the right to stand for election before 1920 and having 30-35% of seats in national parliament held by women in 2024. The explanation also provides supporting data and sources.\",\n \"Correctness Details\": {\n \"Belarus\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1020, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 111, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.256} {"qid": "dsfull-703", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3746d23345b2758ea7b7de006210bfdf3955d7c56aa157a415324f92b6997592", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response failed to identify the correct regions (London and East). Instead, it provided North West, West Midlands, and Yorkshire and the Humber, none of which are in the correct answer set. Therefore, all provided answers are excessive.\",\n \"Correctness Details\": {\n \"London\": false,\n \"East\": false\n },\n \"Excessive Answers\": [\n \"North West\",\n \"West Midlands\",\n \"Yorkshire and the Humber\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 976, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 129, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 3, "false_negatives": 2, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.19} {"qid": "dsfull-702", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c6ac1b9b8c872f5b1b81ed82bc0c7bea1ca7f124f358ebcfe9284b62a432bb27", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four restaurants that appeared on the World's 50 Best Restaurants list every year from 2021-2023, matching the provided correct answer. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Den (Tokyo, Japan)\": true,\n \"Floril\u00e8ge (Tokyo, Japan)\": true,\n \"Odette (Singapore)\": true,\n \"The Chairman (Hong Kong)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1022, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 139, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.267} {"qid": "dsfull-704", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0f18cb45add9b4c1de53bb85070e2acf0a8964f922440b997658a2922f584644", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Switzerland as the country that fits all the criteria, aligning with the provided correct answer.\",\n \"Correctness Details\": {\n \"Switzerland\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1251, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 72, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.927} {"qid": "dsfull-701", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1f0a3f88c6ebcf8f9e2a22133d4516e5e13bc2c440102685178648aabc34a07b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the restaurants listed in the correct answer. The AI also provides additional information, such as the location and rank, which is not required but doesn't detract from the correctness.\",\n \"Correctness Details\": {\n \"Alchemist\": true,\n \"Arpege\": true,\n \"Hof Van Cleve\": true,\n \"Jordnaer\": true,\n \"Le Clarence\": true,\n \"Nobelhart & Schmutzig\": true,\n \"Restaurant Tim Raue\": true,\n \"Schloss Schauenstein\": true,\n \"Septime\": true,\n \"Steirereck\": true,\n \"The Jane\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1242, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 190, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 11, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.362} {"qid": "dsfull-705", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "33d20880713095a2782d7f00390c6adc0a62bc107b189832b3b7fca7af4f7740", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies Canada as the answer. The correct answer is New Zealand.\",\n \"Correctness Details\": {\n \"New Zealand\": false\n },\n \"Excessive Answers\": [\n \"Canada\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 985, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 76, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 0.923} {"qid": "dsfull-707", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f95527e980fe702d2f0ae93a0c59ec9e80202b9a2f7fd67c88956f50f199e344", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Newmont Corporation as having the biggest year-over-year percentage increase in copper production for fiscal 2022, which matches the correct answer. It also provides supporting data and calculations.\",\n \"Correctness Details\": {\n \"Newmont Corporation\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1239, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 96, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.026} {"qid": "dsfull-708", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "acc88ec2acaec60b081bd1fc51af25270bf39091efdae7781d09656bd80a5688", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the councillors from the 'Correct Answer' list who have held the seat of Mayor in the Burnie City Council between June 2009 and June 2024. No excessive answers were provided for the mayoral positions.\",\n \"Correctness Details\": {\n \"Alvwyn Boyd\": true,\n \"Teeny Brumby\": true,\n \"Steven Kons\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1380, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 124, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.287} {"qid": "dsfull-706", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "dd1d7936ea240d4d37ee8c34990eb8f3a9d1adca7b5e9633fa3d2086cf88c166", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Roast suckling pig' but missed 'Roast lamb', 'Grilled sirloin steak', 'Mushroom sirloin steak with mushrooms', and 'Grilled entrecotte'. It also provided 'Roast baby lamb', 'Fillet steak', and 'Fillet steak Bot\u00edn style' as excessive answers, which are not explicitly present in the correct answer list.\",\n \"Correctness Details\": {\n \"Roast suckling pig\": true,\n \"Roast lamb\": false,\n \"Grilled sirloin steak\": false,\n \"Mushroom sirloin steak with mushrooms\": false,\n \"Grilled entrecotte\": false\n },\n \"Excessive Answers\": [\n \"Roast baby lamb\",\n \"Fillet steak\",\n \"Fillet steak Bot\u00edn style\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 952, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 203, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 3, "false_negatives": 4, "precision": 0.25, "recall": 0.2, "f1": 0.22222222222222224, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.669} {"qid": "dsfull-709", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9df146d6c85cddb9a13ebc40c045a0dede1d23f4a1a008302157c6d57ca906d3", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both 'Upper Lachlan Shire (A)' and 'Southern Grampians (S)' as the LGAs that meet the specified criteria, matching the correct answer exactly. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Upper Lachlan Shire (A)\": true,\n \"Southern Grampians (S)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1080, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 114, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.098} {"qid": "dsfull-710", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "812fe47777ae658e2879c909cba06cc632bae02bb7d62609823bfe268a3f9fd8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both Poland and Lithuania as meeting the criteria. It properly details the population changes in Ireland for the top five non-Irish populations and then cross-references this with the population changes in their respective home nations, accurately concluding that only Poland and Lithuania experienced a decrease in both scenarios.\",\n \"Correctness Details\": {\n \"Poland\": true,\n \"Lithuania\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1341, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 118, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.298} {"qid": "dsfull-712", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2697fd5b405c8715e14734fa87acb888b2d45f570b82e8b877fd884854b96467", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response states that no states satisfy the criteria, which contradicts the correct answer which lists New Mexico and Wyoming. Therefore, the response is incorrect.\",\n \"Correctness Details\": {\n \"New Mexico\": false,\n \"Wyoming\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 937, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 89, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 2, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 0.94} {"qid": "dsfull-711", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "84974b45281adf44f2aace6b53f726abd35a2fc2ee67a42f4a8da006a90a5a7e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the 'Northwest, Central, Eastern Winter Storm and Cold Wave' and the month 'February 2021', which matches the correct answer. The AI also provides supporting details for each condition specified in the prompt, confirming its accuracy.\",\n \"Correctness Details\": {\n \"Northwest, Central, Eastern Winter Storm and Cold Wave\": true,\n \"February 2021\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1090, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 126, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.239} {"qid": "dsfull-713", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ccdf20cd2a4af73c9d974a2b48248bfce2d4df96b9c87113581e09cf2922c467", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three Pok\u00e9mon cards that meet the specified criteria from the prompt. The details provided for each card (HP, weakness, and attack damage) also align with the prompt's conditions.\",\n \"Correctness Details\": {\n \"Sabrina's Haunter (Gym Challenge, 55/132)\": true,\n \"Sabrina's Gengar (Gym Challenge, 29/132)\": true,\n \"Sabrina's Gengar (Gym Heroes, 14/132)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1160, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 157, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.64} {"qid": "dsfull-715", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4d1936349e3224bcbd493f68f850fce873bbe8d8927f8090ce4bd964a2f23a58", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the study 'A Clinical Trial of PRAX-114 in Participants With Essential Tremor' as the answer to the prompt. It also provides the NCT number and sponsor details, which are supportive information.\",\n \"Correctness Details\": {\n \"A Clinical Trial of PRAX-114 in Participants With Essential Tremor\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1159, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 112, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.341} {"qid": "dsfull-714", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4e58b4742aebbe31bf28b21eea2aac0f43fd9b0233350a538b11c7c14339de36", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the years from the prompt that had at least one adult male sheep with both recessive traits, matching the correct answer exactly. The AI also provided a helpful table and explanation for its answer.\",\n \"Correctness Details\": {\n \"2015\": true,\n \"2016\": true,\n \"2018\": true,\n \"2020\": true,\n \"2021\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1265, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 136, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.572} {"qid": "dsfull-716", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "86af625e6493c2b6e92306a4ed2396012e9473c3edd20d49e60eaa12428fe80c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the MPs listed in the correct answer who voted Aye on all three bills, and did not include any excessive answers.\",\n \"Correctness Details\": {\n \"Stephen Farry\": true,\n \"Gregory Campbell\": true,\n \"Carla Lockhart\": true,\n \"Gavin Robinson\": true,\n \"Jim Shannon\": true,\n \"Sammy Wilson\": true,\n \"Caroline Lucas\": true,\n \"Ben Lake\": true,\n \"Liz Saville Roberts\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1074, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 150, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 9, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.375} {"qid": "dsfull-684", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d79da225811ec9f6c7b8f22c57a33ce024c2ab5028754907c3999f4690291364", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identified Fidencio Duran, Malou Flato, Gordon Fowler, and Terri Wells. However, it also included Karl E. Hall, who was not listed in the correct answer.\",\n \"Correctness Details\": {\n \"Fidencio Duran\": true,\n \"Malou Flato\": true,\n \"Gordon Fowler\": true,\n \"Terri Wells\": true\n },\n \"Excessive Answers\": [\n \"Karl E. Hall\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 914, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 130, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 1, "false_negatives": 0, "precision": 0.8, "recall": 1.0, "f1": 0.888888888888889, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 10.978} {"qid": "dsfull-717", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "03442ccf312dc961b8ec1ef698680857c9ae8c9f83e9505acff2530f89fc2e36", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified the city as Amsterdam, which matches the provided correct answer. The AI also correctly identified the player (Mees de Wit) and mentioned that it could not verify the transfer fee, which is a reasonable output given the complexity of the query.\",\n \"Correctness Details\": {\n \"Amsterdam\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 890, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 102, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.124} {"qid": "dsfull-719", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e4a2352987bdf70de3b3129a04371bfae65dd50d9e16e914cbc262bfa2296f91", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response failed to identify any of the correct films ('Paddington in Peru', 'Wonka') and instead provided three incorrect films ('Imagine Me & You', 'St Trinian\u2019s', 'Exit Strategy').\",\n \"Correctness Details\": {\n \"Paddington in Peru\": false,\n \"Wonka\": false\n },\n \"Excessive Answers\": [\n \"Imagine Me & You (2005)\",\n \"St Trinian\u2019s (2007)\",\n \"Exit Strategy (2008, short film)\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 931, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 150, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 3, "false_negatives": 2, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.151} {"qid": "dsfull-720", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1ff5f4ddff4a0d3893ae63e0dd386712db217ff203df9579e859b3c5f636f71d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly lists all 17 states that meet both criteria, matching the provided correct answer exactly.\",\n \"Correctness Details\": {\n \"Alabama\": true,\n \"Alaska\": true,\n \"Arizona\": true,\n \"Arkansas\": true,\n \"Colorado\": true,\n \"Idaho\": true,\n \"Kansas\": true,\n \"Mississippi\": true,\n \"Missouri\": true,\n \"Montana\": true,\n \"Nebraska\": true,\n \"New Mexico\": true,\n \"North Dakota\": true,\n \"Oklahoma\": true,\n \"South Dakota\": true,\n \"Utah\": true,\n \"West Virginia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1059, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 189, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 17, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.536} {"qid": "dsfull-722", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7eb4bc03fe6552bc98751a6973eea21c9cc30b82c186286c5f4141833cf9ac5e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Autonomous University of San Luis Potos\u00ed' as the university located in the least-populated city based on the provided criteria.\",\n \"Correctness Details\": {\n \"Autonomous University of San Luis Potos\u00ed\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1153, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 88, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.916} {"qid": "dsfull-718", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "80976a0d8f7b984a52f5a5b26508b83eb2938e344fac004118aca9f28311fcd6", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the recipients of the Katarzyna Kobro Award before 2021 as listed in the correct answer. The AI also correctly excludes Koji Kamoji, providing a valid reason consistent with the prompt's criteria (received the award after the 2021 cutoff). The slight difference in the spelling of 'Gerhard J\u00fcrgen Blum-Kwiatkowski' to 'J\u00fcrgen Blum-Kwiatkowski' is acceptable as it refers to the same individual.\",\n \"Correctness Details\": {\n \"Zbigniew D\u0142ubak\": true,\n \"Gerhard J\u00fcrgen Blum-Kwiatkowski\": true,\n \"Andrzej D\u0142u\u017cniewski\": true,\n \"Krzysztof M. Bednarski\": true,\n \"Teresa Murak\": true,\n \"Krzysztof Wodiczko\": true,\n \"Jerzy Lewczy\u0144ski\": true,\n \"Zbigniew Rybczy\u0144ski\": true,\n \"Andrzej Lachowicz\": true,\n \"Zygmunt Rytka\": true,\n \"Natalia LL\": true,\n \"Cezary Bodzianowski\": true,\n \"Robert Rumas\": true,\n \"Jadwiga Sawicka\": true,\n \"Karolina Wiktor\": true,\n \"Piotr Bosacki\": true,\n \"Cecylia Malik\": true,\n \"Ewa Ciepielewska\": true,\n \"Koji Kamoji\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1334, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 363, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 18, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.9473684210526315, "f1": 0.972972972972973, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.011} {"qid": "dsfull-723", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "dd42ae24ebc44ac10fb7fa06fda1eea086544e7406530bb338b0d3a7dd1904be", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both 2023 and 2020 as years that meet the criteria and orders them correctly from most spent on defense to least, matching the correct answer exactly.\",\n \"Correctness Details\": {\n \"2023\": true,\n \"2020\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 924, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 104, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.983} {"qid": "dsfull-721", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c3960ced400a7deca752ac17c13fe2ff9b97b7409c4b0aa9e95954b8197e4853", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the team for each season that scored the most goals against the Vancouver Canucks based on the provided correct answer. For the 2010-11 season, the correct answer lists both Calgary Flames and Minnesota Wild, and the AI provides Minnesota Wild, which is acceptable as it's one of the correct options.\",\n \"Correctness Details\": {\n \"2010-11: Calgary Flames/Minnesota Wild\": true,\n \"2011-12: Anaheim Ducks\": true,\n \"2012-13: Edmonton Oilers\": true,\n \"2013-14: Anaheim Ducks\": true,\n \"2014-15: San Jose Sharks\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1092, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 196, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.85} {"qid": "dsfull-724", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e3b88e775e20bf2749f6819c987e86627f35c0041a4cabb57f4e5b7c20293bb4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response states it cannot retrieve the exact list for December 2022 and provides 'Levetiracetam 500mg tablets' as its best prediction, which is incorrect. The correct answer is 'Gabapentin 600mg tablets'.\",\n \"Correctness Details\": {\n \"Gabapentin 600mg tablets\": false\n },\n \"Excessive Answers\": [\n \"Levetiracetam 500mg tablets\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 885, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 133, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.157} {"qid": "dsfull-725", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "97541d3bb30abb08b3a88ef77dcbacb1eacc2d4c9f559958fb5dd19876942688", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Panama City Beach as the beach that allows alcohol consumption year-round except for March, which aligns with the provided correct answer.\",\n \"Correctness Details\": {\n \"Panama City Beach\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 898, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 83, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.054} {"qid": "dsfull-728", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "839d093433e913387723164aefb77739094e09ae2149e0aebc1aace5f32e88db", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Epcot as the theme park with the largest growth in attendance between 2022 and 2023, matching the provided correct answer. The additional details about attendance numbers and percentage increase are supportive but do not detract from the core correct answer.\",\n \"Correctness Details\": {\n \"Epcot\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 911, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 110, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.375} {"qid": "dsfull-727", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1a80d54a66ac944d6dcc228aebdc3737169282e249286048eeb82c8010aa4793", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies '50 to 54 years' as the majority age group, which matches the provided correct answer. The AI also correctly interprets 'majority' as the largest age group.\",\n \"Correctness Details\": {\n \"50 to 54 years\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 934, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 97, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.449} {"qid": "dsfull-729", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2abb0ea3fc6927a791f9dcd5fac18d7c7ca1ba0fc9e2596cf9db1407ef34e9ed", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies '2021' as the year that meets all the specified criteria from the prompt.\",\n \"Correctness Details\": {\n \"2021\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 961, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 77, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.026} {"qid": "dsfull-730", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b765a1c4bf5b2a9e6eead2578f5ce7e645d294c4bae0d5f3b4f035bb419e27e1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'New York' as the state that brings in the most money from total visitor spending per National Park Site, based on the given criteria. It also provides supporting data and calculations from the NPS.\",\n \"Correctness Details\": {\n \"New York\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1165, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 95, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.131} {"qid": "dsfull-726", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "92c7b32249f60fc0b0079c628c53b4b4c2b7bcb41652ff6926387aed27dcb6e1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the countries listed in the correct answer. The wording for 'Democratic Republic of the Congo' and 'C\u00f4te d\u2019Ivoire' are acceptable variations.\",\n \"Correctness Details\": {\n \"C\u00f4te d'Ivoire\": true,\n \"Turkmenistan\": true,\n \"Ethiopia\": true,\n \"Myanmar\": true,\n \"Monaco\": true,\n \"Turkiye\": true,\n \"China\": true,\n \"Sri Lanka\": true,\n \"Lao PDR\": true,\n \"Cambodia\": true,\n \"Uzbekistan\": true,\n \"Georgia\": true,\n \"Bolivia\": true,\n \"Malta\": true,\n \"Lithuania\": true,\n \"Bangladesh\": true,\n \"India\": true,\n \"Congo Dem. Rep.\": true,\n \"Phillippines\": true,\n \"Tajikistan\": true,\n \"Kosovo\": true,\n \"Fiji\": true,\n \"Somalia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1094, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 273, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 23, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.909} {"qid": "dsfull-731", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b36183cd48d63f1d24225dd7971b4cb7ddfb89ea4c5afd8c89365aec38939daa", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four countries (Ghana, Austria, Burma, Norway) from the provided correct answer. It also provides additional context in a table format, but the final answer correctly lists only the expected countries without any excessive answers.\",\n \"Correctness Details\": {\n \"Ghana\": true,\n \"Austria\": true,\n \"Burma\": true,\n \"Norway\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1082, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 120, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.34} {"qid": "dsfull-734", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4d4efc574ad128d8681d857c251c9cb1933d68bfbf3eeb347c208f22517a3901", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response explicitly states that it is 'Unable to determine reliably from the accessible evidence' and does not provide the correct answer, 'Applegate-Lassen Trail'.\",\n \"Correctness Details\": {\n \"Applegate-Lassen Trail\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 942, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 90, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.046} {"qid": "dsfull-735", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "faeac121bab80beb5d1266e936e6c6cbe7c361799f80679bdb66114d90c5cbaf", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Slovakia' as the country that meets all the specified criteria from the prompt, which matches the provided correct answer. The response also provides supporting data from Our World in Data for each condition.\",\n \"Correctness Details\": {\n \"Slovakia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1185, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 95, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.142} {"qid": "dsfull-732", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ca523fd69e833ce21d1fa3536312663e53941badaf975b7094d9db33e802bf68", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the individuals listed in the Correct Answer who died before American independence was officially won, and it explicitly states them in the 'Final Answer' section. The table and additional explanations reinforce the correctness without introducing excessive answers.\",\n \"Correctness Details\": {\n \"John Hart\": true,\n \"Joseph Hewes\": true,\n \"Philip Livingston\": true,\n \"Thomas Lynch Jr.\": true,\n \"John Morton\": true,\n \"George Ross\": true,\n \"Richard Stockton\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1124, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 150, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 7, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.558} {"qid": "dsfull-733", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c19f90ac9f301440e4bbdac74abe02596539d729b465b3b3bfb296d42cf74051", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI explicitly states it was unable to locate the requested well names, thus none of the expected answers are present in the response.\",\n \"Correctness Details\": {\n \"MW2D-07\": false,\n \"MW2E-07\": false,\n \"MW4C-07\": false,\n \"MW10A-09\": false,\n \"TW1-93\": false,\n \"TW1-99\": false,\n \"MW-S\": false,\n \"PCC-S\": false,\n \"PCC-I\": false,\n \"TW1/99\": false,\n \"MW2\": false,\n \"MW3A/B\": false,\n \"MW5B\": false,\n \"MW6B\": false,\n \"MW11B-08\": false,\n \"MW12B-08\": false,\n \"D2B\": false,\n \"D26C\": false,\n \"D36A\": false,\n \"D27\": false,\n \"D7B\": false\n },\n \"Excessive Answers\": [\n \"Aberfoyle\",\n \"Hillsburgh\",\n \"Unable to verify the requested well names\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 975, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 318, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 3, "false_negatives": 21, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.761} {"qid": "dsfull-738", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f9292372e785b91cfc1218a8debe781e103399f55f51cd771713db7c967356ea", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified '2007-2008' as the academic year with the greatest gap, matching the provided correct answer. It also provides supporting data for this conclusion.\",\n \"Correctness Details\": {\n \"2007-2008\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1065, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 98, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.03} {"qid": "dsfull-737", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "60d68fb1cfe9dfb663f8a25822f70fc2221985d5bdf6b2491f3daca3e6813892", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies '2023 Toyota Prius Prime' which aligns with the correct answer '2023/2024 Toyota Prius Prime 4-Door Hatchback'. The minor difference in the year and body style description does not negate the correctness given the user's prompt asking for a suitable car from the IIHS website.\",\n \"Correctness Details\": {\n \"2023/2024 Toyota Prius Prime 4-Door Hatchback\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1111, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 139, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.261} {"qid": "dsfull-739", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8dfd6ec4448e0c57edf62ce8e861daeee6be1792c296b7a56d31e01648ba72f3", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the parks listed in the correct answer that are west of the Rocky Mountains National Park, according to the 2021 US National Park System recreational visits data.\",\n \"Correctness Details\": {\n \"Golden Gate NRA\": true,\n \"Lake Mead NRA\": true,\n \"Zion NP\": true,\n \"Yellowstone NP\": true,\n \"Grand Canyon NP\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 907, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 127, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.487} {"qid": "dsfull-736", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a196aec84687a2f24d673f60bc3d0e6932c95f098a482009af81e75074a03bac", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all six cases that were appealed from prior federal circuit decisions from the provided list of seven. The response correctly noted that Allied-Bruce Terminix Cos. v. Dobson was not from a federal circuit, which is consistent with the correct answer implicitly excluding it. All listed correct answers are present in the AI's final answer.\",\n \"Correctness Details\": {\n \"Kimble v. Marvel\": true,\n \"West v. Gibson\": true,\n \"Carcieri v. Salazar\": true,\n \"Republic of Argentina v. Weltover, Inc.\": true,\n \"Wisconsin Central Ltd. v. United States\": true,\n \"New Prime Inc. v. Oliveira\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1136, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 190, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.924} {"qid": "dsfull-742", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8bbc06f7c29edb3273bdaec9b44509c98a81327a1854a74c1a476ba40f9b128c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three universities listed in the correct answer: Mount Allison University, Acadia University, and St. Francis Xavier University. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Mount Allison\": true,\n \"Acadia\": true,\n \"St. Francis Xavier\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1107, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 104, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.021} {"qid": "dsfull-741", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d7458c60cdfb091ff4a46a09ae1bed0f1c0971e910fd68b3fe304b0cb295afab", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Bret' and 'Pauline' from the provided correct answer. However, it missed 'Douglas', 'Greg', 'Juliette', and 'Kevin'. Additionally, the AI response included 'Lidia', 'Nora', 'Opal', and 'Virgil' which are not part of the correct answer, making them excessive.\",\n \"Correctness Details\": {\n \"Bret\": true,\n \"Douglas\": false,\n \"Greg\": false,\n \"Juliette\": false,\n \"Kevin\": false,\n \"Pauline\": true\n },\n \"Excessive Answers\": [\n \"Lidia\",\n \"Nora\",\n \"Opal\",\n \"Virgil\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1156, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 189, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 4, "false_negatives": 4, "precision": 0.3333333333333333, "recall": 0.3333333333333333, "f1": 0.3333333333333333, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.379} {"qid": "dsfull-740", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c5d21e3365b267e8e523f62198cfea9e8cc57eb329af4d54cdc413106f69fd9f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Albert Viljam Hagelin, Tormod Kristoffer Hustad, Vidkun Abraham Lauritz Quisling, Jonas Lie, Anton Frederik Winter Jakhelln Prytz (referred to as Frederik Prytz), and Ragnar Sigvald Skancke (referred to as Ragnar Skancke) as ministers who featured in both governments with a tenure of more than one year in the national government. The response also explicitly mentions Vidkun Quisling at the beginning, covering all ministers in the correct answer.\",\n \"Correctness Details\": {\n \"Albert Viljam Hagelin\": true,\n \"Tormod Kristoffer Hustad\": true,\n \"Vidkun Abraham Lauritz Quisling\": true,\n \"Jonas Lie\": true,\n \"Anton Frederik Winter Jakhelln Prytz\": true,\n \"Ragnar Sigvald Skancke\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1373, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 219, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.961} {"qid": "dsfull-743", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6a949f9f5484b22a6892159d4f5fbf7ce64cc6b637ff312c44d02c4a7d65847f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identifies all the Klein ISD high schools. However, the order is incorrect based on the provided correct answer. The correct order from highest to lowest attendance rate should be: Klein Cain High School, Klein Oak High School, Klein Collins High School, Klein High School, Klein Forest High School. The AI's response has Klein High School before Klein Oak High School and Klein Collins High School, which is incorrect according to the specified order.\",\n \"Correctness Details\": {\n \"Klein Cain High School\": true,\n \"Klein Oak High School\": true,\n \"Klein Collins High School\": true,\n \"Klein High School\": true,\n \"Klein Forest High School\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 953, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 181, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.608} {"qid": "dsfull-746", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d8470a10feefb8fac582090cb07e0257ee98d12f09a22af7ea9ecfbb6fddcc89", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Finland' as the only country that met all the specified conditions, which matches the single item in the correct answer set. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Finland\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 954, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 86, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.999} {"qid": "dsfull-744", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f15da73b93e74c1bbd4629f8c7cd55c49aad99ec07c507d5d387a078a30317b3", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified World War II, World War I, and the Second Sino-Japanese War. However, it incorrectly included the Chinese Civil War instead of the Vietnam War, which is listed as the fourth deadliest interstate war in the provided correct answer. The prompt specifically asked for 'interstate wars,' and while the AI notes OWID's dataset covers civil wars, it still fails to list the correct interstate war for the fourth position.\",\n \"Correctness Details\": {\n \"World War II\": true,\n \"World War I\": true,\n \"Second Sino-Japanese War\": true,\n \"Vietnam War\": false\n },\n \"Excessive Answers\": [\n \"Chinese Civil War\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1018, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 179, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 1, "false_negatives": 1, "precision": 0.75, "recall": 0.75, "f1": 0.75, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.766} {"qid": "dsfull-745", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1d35fafde523d086e1cc046626f8baf35e5723106384640449f40ab9045b91f7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Barragunda', 'Beleura', and 'Norman Lodge' from the provided correct answer. However, it failed to identify 'Koonoona' and 'Sages Cottage'. Additionally, it included 'The Briars' and 'Blairgowrie House' which are not part of the correct answer.\",\n \"Correctness Details\": {\n \"Barragunda (VHR H0615)\": true,\n \"Koonoona (VHR H0695)\": false,\n \"Beleura (VHR H0319)\": true,\n \"Norman Lodge (VHR H0321)\": true,\n \"Sages Cottage (VHR H0302)\": false\n },\n \"Excessive Answers\": [\n \"The Briars\",\n \"Blairgowrie House\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1129, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 222, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 2, "false_negatives": 2, "precision": 0.6, "recall": 0.6, "f1": 0.6, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.365} {"qid": "dsfull-747", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "15357a60a8a30c1af8a8f07c79e4a8abf863f7bd1ee78a6036db4efb17efa9bb", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four individuals who meet the criteria, listing them in alphabetical order by first name as requested. The 'Correctness Details' reflect that each expected answer part was found in the response.\",\n \"Correctness Details\": {\n \"Aaron Douglas\": true,\n \"Alexander Girard\": true,\n \"Corita Kent\": true,\n \"Dan Friedman\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1253, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 118, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.415} {"qid": "dsfull-751", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d5befa0e133bc772e9231835203542057772f2b020d9c247beec8ae4e156a7a4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Southern Water' as the company with the lowest average discharge permit compliance, which matches the single correct answer. It also provides supporting data and calculations for its answer.\",\n \"Correctness Details\": {\n \"Southern Water\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1132, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 89, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.88} {"qid": "dsfull-748", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e3029247e0c2c6695733c31f62ef9392c1cf3fb1105f587283c366a3bf97f1e6", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Murr v. Wisconsin' as the case and 'Roberts' and 'Thomas' as the dissenting justices. Both parts of the correct answer are present in the response.\",\n \"Correctness Details\": {\n \"Murr v. Wisconsin\": true,\n \"Roberts\": true,\n \"Thomas\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1038, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 108, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.224} {"qid": "dsfull-749", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5d020ccdcecc032e047fd39505a3b02a10ce27240ab4baf750f396d687f27040", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies 'Financial Manager' as the profession with the highest median salary among those with a Future Prospects score over 9 in the top 10. The correct answer is 'Physician Assistant'.\",\n \"Correctness Details\": {\n \"Physician Assistant\": false\n },\n \"Excessive Answers\": [\n \"Financial Manager\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 955, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 105, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.067} {"qid": "dsfull-752", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "1213762c2b4d653f0f82060d462ae25d9eedbc0349e8a06fcb597bbb6ca32f20", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both 'Brown seaweeds' and 'Red seaweeds' as the species groups that did not consistently remain at the exact same ranking over all 3 years.\",\n \"Correctness Details\": {\n \"Brown seaweeds\": true,\n \"Red seaweeds\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1030, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 102, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.016} {"qid": "dsfull-754", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "829bfea76a3eee3c3f3febd868a095630ea439452d317284204c693e0eaca8ed", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all five countries listed in the correct answer (Curacao, Qatar, United Arab Emirates, Brunei, Luxembourg). There are no excessive answers.\",\n \"Correctness Details\": {\n \"Curacao\": true,\n \"Qatar\": true,\n \"United Arab Emirates\": true,\n \"Brunei\": true,\n \"Luxembourg\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1215, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 117, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.041} {"qid": "dsfull-753", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6499339040f157463c912fe041d17756cc4daedd80492dcceb8154f6f9d5eef3", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response only identified 'Asthma' as a possible condition, which is one of the correct answers. However, it missed 'Bronchitis', 'Emphysema', and 'Pneumonia'. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Asthma\": true,\n \"Bronchitis\": false,\n \"Emphysema\": false,\n \"Pneumonia\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 891, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 124, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 3, "precision": 1.0, "recall": 0.25, "f1": 0.4, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.374} {"qid": "dsfull-755", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "933917a91ba6fa91dcbab0018e46cc4a46b5dbdff8bcb160c019168fc92d9407", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the categories that experienced fluctuations in figures of representative items. The response lists all the categories mentioned in the correct answer.\",\n \"Correctness Details\": {\n \"Clothing & footwear\": true,\n \"Food & non-alcoholic beverages\": true,\n \"Housing & household services\": true,\n \"Miscellaneous goods and services\": true,\n \"Restaurants & hotels\": true,\n \"Transport\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1032, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 129, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.312} {"qid": "dsfull-756", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b2b2c9be56fa6d7e32755b20c5449b63009576fa08341c5bcd5e4a0da9cfac3f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Southwest Airlines and United Airlines Holdings, but it missed Delta Air Lines. The response also indicated it could only directly verify Southwest's filing.\",\n \"Correctness Details\": {\n \"Delta Air Lines\": false,\n \"United Airlines Holdings\": true,\n \"Southwest Airlines\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 986, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 103, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.6666666666666666, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.239} {"qid": "dsfull-757", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9252d0f4787577b2f14c9a362f5088c1c3ae3c106d2bba2994ceae27a4a8e3d2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the states and their corresponding paid sick leave enactment years as provided in the correct answer. There are no excessive answers.\",\n \"Correctness Details\": {\n \"California: 2014\": true,\n \"Colorado: 2020\": true,\n \"Connecticut: 2011\": true,\n \"Maryland: 2018\": true,\n \"New Jersey: 2018\": true,\n \"New York: 2020\": true,\n \"Nevada: 2019\": true,\n \"Oregon: 2015\": true,\n \"Vermont: 2016\": true,\n \"Washington: 2016\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1122, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 205, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 10, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.418} {"qid": "dsfull-759", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f3513b39eb78f95d10274e2a6b7d24bd334b4869381a1d039284a79f5ad126b0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all three provinces listed in the correct answer: Quebec, Ontario, and Alberta. It also provides supporting data for milk sold off farms and retail prices, which align with the prompt's conditions.\",\n \"Correctness Details\": {\n \"Quebec\": true,\n \"Ontario\": true,\n \"Alberta\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1103, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 109, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.175} {"qid": "dsfull-760", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "70c572aa899e45caab43fb51466d5035a022306ca9dea69e097a07ceaa9e99d9", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both Spain and Poland as the countries that meet all the specified criteria. The response also provides a table with the relevant data for each country, which supports its conclusion.\",\n \"Correctness Details\": {\n \"Spain\": true,\n \"Poland\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1190, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 95, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.441} {"qid": "dsfull-758", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4015669eb7a92148c0708ed9b0470d6348a6efa34546151a14944f122380b725", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The prompt asks for states with a death rate between 229.8 and < 268.1 for the leading cause of death in 2019 and 2020. The correct answer specifies '2019: Oklahoma' and '2020: Mississippi, Oklahoma, and Alabama'. The AI response provides 'Louisiana; Missouri; Pennsylvania; Tennessee' as the final answer, which are all incorrect states. Furthermore, the AI's interpretation of 'requiring a crude death rate of 229.8 to under 268.1 in both years' is incorrect, as the prompt implies finding states for *each* year within that range, not necessarily states that fit the range in *both* years. Also, the prompt asks for states that had a death rate inflicted by the leading cause of death in the US, and not a 'crude death rate'.\",\n \"Correctness Details\": {\n \"2019: Oklahoma\": false,\n \"2020: Mississippi\": false,\n \"2020: Oklahoma\": false,\n \"2020: Alabama\": false\n },\n \"Excessive Answers\": [\n \"Louisiana\",\n \"Missouri\",\n \"Pennsylvania\",\n \"Tennessee\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1043, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 305, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 4, "false_negatives": 4, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.931} {"qid": "dsfull-761", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e1f36caab42910d880b4a962024f55f817c89a3c6d745eea0d248a8444ce375e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all five states listed in the correct answer: Alaska, Wyoming, Vermont, Montana, and North Dakota. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Alaska\": true,\n \"Wyoming\": true,\n \"Vermont\": true,\n \"Montana\": true,\n \"North Dakota\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1002, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 112, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.959} {"qid": "dsfull-762", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "02ff83be7754e5d01d0a435f82657fde0be1f81b9395d77d8b6d8dfc41725f8e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three Shakespearian tragedies listed in the correct answer: Troilus and Cressida, Romeo and Juliet, and Julius Caesar. It also provides supporting details for each play's inclusion.\",\n \"Correctness Details\": {\n \"Troilus and Cressida\": true,\n \"Romeo and Juliet\": true,\n \"Julius Caesar\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1236, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 115, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.149} {"qid": "dsfull-764", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ef635c69eff2ffe64cc02e58dd5c127110db6cbc234aca148207b8762a7a2949", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Hong Kong SAR, China' as the region that meets all the specified conditions, which aligns with the correct answer 'Hong Kong SAR'.\",\n \"Correctness Details\": {\n \"Hong Kong SAR\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1372, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 86, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.173} {"qid": "dsfull-765", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5044ae54e0b2595fc65efc9b7c629f7c0fddc9cbf39ebf831dd665a0d388654a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies France as the only G7 country that meets both criteria: an urban population of less than 80% (79.7%) and a female life expectancy at birth of 85 years or more (85.2 years) in 2015, according to UN data. This matches the correct answer.\",\n \"Correctness Details\": {\n \"France\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 924, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 122, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.098} {"qid": "dsfull-763", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "cf4d5dd641bae0c01b99b319f8e9e9e3401ac2e1b1f777f8e0f3a35205df3764", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Ethiopia' as the country with the highest real GDP based on the given criteria. The additional context about GDP data verification is not an excessive answer, as it explains a limitation in the AI's ability to fully verify a part of the prompt's conditions.\",\n \"Correctness Details\": {\n \"Ethiopia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 905, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 110, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.515} {"qid": "dsfull-766", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "12b6a4b63ed3b5cf71905c6cb509410b10a4be2aaf475ede1e4ae0486f56ea57", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the universities listed in the correct answer. There are no excessive answers.\",\n \"Correctness Details\": {\n \"St Andrews\": true,\n \"London School of Economics\": true,\n \"Durham\": true,\n \"UCL\": true,\n \"Glasgow\": true,\n \"Aberdeen\": true,\n \"West London\": true,\n \"UWE Bristol\": true,\n \"UEA\": true,\n \"Keele\": true,\n \"Royal Holloway\": true,\n \"Ulster\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1317, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 161, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 12, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.497} {"qid": "dsfull-768", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3fd2533c2844a8aabbce47ea2fec9cf4aa7e6e1f6740f2364815e93648bc115f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Jeanne Shaheen as the senator who graduated from the University of Mississippi, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Jeanne Shaheen\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 980, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 78, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.921} {"qid": "dsfull-767", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c598fa49c442c961de19755daec747c82b6900e98e13ec36ce0dd07dd0689b46", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The correct answer states 'None' for near-threatened species in the specified category from the 2020 IUCN Red List. The AI response provides three species (Latiaxis babelis, Ranella olearia, Ranella parthenopaeum), which contradicts the correct answer. Therefore, the response is incorrect.\",\n \"Correctness Details\": {\n \"None\": false\n },\n \"Excessive Answers\": [\n \"Latiaxis babelis\",\n \"Ranella olearia\",\n \"Ranella parthenopaeum\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 889, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 146, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 3, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.54} {"qid": "dsfull-769", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c1dd36a58a7c9724cb5bac04dd3a86db112ffb79c56d6e9a526361099a3007bc", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies the Netherlands as the country with the highest combined score, whereas the correct answer is Estonia. The AI also explicitly states it could not verify the 2022 table to confirm the combined ranking, which indicates it did not have the full information to answer the question.\",\n \"Correctness Details\": {\n \"Estonia\": false\n },\n \"Excessive Answers\": [\n \"the Netherlands\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 924, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 120, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.688} {"qid": "dsfull-770", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "dc05c31cc3e3af9cf48c65468cbb5de00d32f76d76147a3dea1e0c248385d35c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four individuals from the correct answer list: Carla Qualtrough, Harjit S. Sajjan, Jonathan Wilkinson, and Joyce Murray. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Carla Qualtrough\": true,\n \"Harjit S. Sajjan\": true,\n \"Jonathan Wilkinson\": true,\n \"Joyce Murray\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1182, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 121, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.382} {"qid": "dsfull-772", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d9ef5df33c855ffae9f553d3c3c79ff99bebfad7eecf05de58a598efe371a062", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both 'Na h-Eileanan an Iar' and 'East Renfrewshire' as specified in the correct answer. The explanation also provides relevant historical context regarding the renaming and boundary changes, which, while not explicitly asked for, adds value without being excessive.\",\n \"Correctness Details\": {\n \"Na h-Eileanan an Iar\": true,\n \"East Renfrewshire\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1002, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 129, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.345} {"qid": "dsfull-771", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "df0e1aa9feaa87c3820f39e501c645f285310e4a9181a075650c2f34bc0bba6a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Luxembourg as one of the top European countries in energy consumption per capita, and correctly lists Luxembourg and Malta as two of the three EU countries with the lowest shares of renewables. It also correctly identifies Luxembourg as the European country with the highest real GDP per capita. However, the response fails to identify 'Malta' as one of the top 3 European countries in energy consumption per capita, and 'Czechia' and 'Cyprus' as the other two EU countries with the lowest shares of renewables. It also incorrectly states 'iron and steel products' as Luxembourg's top export, instead of 'Iron Blocks'. It also includes excessive answers for energy consumption per capita (Iceland) and lowest EU renewable-energy shares (Belgium).\",\n \"Correctness Details\": {\n \"Malta\": false,\n \"Luxembourg\": true,\n \"Norway\": true,\n \"Czechia\": false,\n \"Cyprus\": false,\n \"Iron Blocks\": false\n },\n \"Excessive Answers\": [\n \"Iceland\",\n \"Belgium\",\n \"iron and steel products\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1113, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 263, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 3, "false_negatives": 4, "precision": 0.4, "recall": 0.3333333333333333, "f1": 0.3636363636363636, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.159} {"qid": "dsfull-773", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "fcd377881e56773a77a5cb101c7915d29c9958d324d9eb6d865ece2ab6ab5545", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the birth date of the actress who played Henrietta as July 7, 1972, which matches the provided correct answer.\",\n \"Correctness Details\": {\n \"July 7, 1972\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 881, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 90, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.984} {"qid": "dsfull-775", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "205213b8fe6855bd3a2d3fe0179c4254d789d32140520922243ca4892514af11", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response provides the exact title of the paper requested in the prompt, matching the correct answer perfectly.\",\n \"Correctness Details\": {\n \"Study of phenylxylylethane (PXE) as scintillator for low energy neutrino experiments\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 969, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 89, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.103} {"qid": "dsfull-774", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "725f6062818f13d185a2f28556afbbac420f89be2e736d3012a78530e55c69e7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identified 'Best Animated Feature' as a shared category where both films won. It also correctly identified 'Jason Mayer', 'John Powell', and 'Dean DeBlois' as people present in both nominations and wins. However, the prompt specifically asked for categories and people that were *both* nominated for and *won*. The AI included additional categories where both films were just nominated, and also included Jason Mayer who was nominated but did not win for either film. The provided correct answer only lists what was both nominated for and won.\",\n \"Correctness Details\": {\n \"Best Animated Feature\": true,\n \"Jason Mayer\": true,\n \"John Powell\": true,\n \"Dean DeBlois\": true\n },\n \"Excessive Answers\": [\n \"Animated Effects\",\n \"Character Animation\",\n \"Directing\",\n \"Music\",\n \"Storyboarding\",\n \"Writing\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1650, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 224, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 6, "false_negatives": 0, "precision": 0.4, "recall": 1.0, "f1": 0.5714285714285715, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 2.364} {"qid": "dsfull-776", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a6b1a361c6fa8277b06d79c63948bda9b33ebc30c57d1ce8ed438aa302dcbe62", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response states '1957' as the final answer, which is incorrect. The correct answer, according to the provided ground truth, is 1965.\",\n \"Correctness Details\": {\n \"1965\": false\n },\n \"Excessive Answers\": [\n \"1957\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 887, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 101, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.544} {"qid": "dsfull-778", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "31a6fb6e13af21ec800f08b65f4fb88316ad7deda275ae57bbe224f8adfc40ea", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identifies both 2017 and 2023, which are the years specified in the correct answer. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"2017\": true,\n \"2023\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 977, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 96, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.325} {"qid": "dsfull-750", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2feaee7899790ed7180862a187afc93061ec36344b8143bf768bc70972129d0e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The prompt asks to identify the state with some of the lowest prison and committed youth rates, appeared in the bottom 10 states for prevalence of mental illness, and a recidivism increase. The correct answer is Utah. The AI response identifies both New Mexico and Utah as potential answers. While Utah is correct, New Mexico is not, as the AI itself notes that the MHA's bottom ten indicates higher prevalence, not lower, which is contrary to the prompt's condition ('bottom 10 states for prevalence of mental illness'). Additionally, the AI states it could not fully verify the Sentencing Project data for 'lowest rates', which is a key part of the prompt.\",\n \"Correctness Details\": {\n \"Utah\": true\n },\n \"Excessive Answers\": [\n \"New Mexico\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1363, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 195, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 1, "false_negatives": 0, "precision": 0.5, "recall": 1.0, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 11.322} {"qid": "dsfull-780", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "000df7eb889cd71a53cb14bcac6f36c4493e301f1270a82a4f302f725eccaa13", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response successfully identified all the correct grants awarded to Macquarie University between 2018 and 2023, matching the provided correct answer exactly.\",\n \"Correctness Details\": {\n \"2023 - Living Boulders for reviving marine life on coastal defences\": true,\n \"2022 - Using mosquito DNA (iDNA) for detecting the occurrence of native mammals in semi-arid refuges\": true,\n \"2020 - Characterising the (a)biotic soil factors associated with bell miner associated dieback in eastern NSW\": true,\n \"2019 - Predicting the impacts of groundwater abstraction on groundwater ecosystems\": true,\n \"2018 - Building with nature: using potato waste to restore NSW oyster reefs\": true,\n \"2018 - Evaluating and reducing the risk of floodplain wetland disconnection\": true,\n \"2018 - Evaluating resilience of swamp communities to environmental change in the Sydney Basin\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1212, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 244, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 7, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.522} {"qid": "dsfull-781", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "78b9c5edda1d87143b001a67a94c84ad053a5585719bcfbb5295816d96d04646", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both Florida and Utah, which are the states listed in the correct answer. It also provides supporting data for both criteria, showing the EV registration increase and the reduction in traffic deaths for each state.\",\n \"Correctness Details\": {\n \"Florida\": true,\n \"Utah\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1025, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 101, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.428} {"qid": "dsfull-779", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2b881df727ab5ee24b94ac492e9c3269cd8ecc0cc0a19ea9f3d57aac9126084f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all eight states that meet both criteria (teen birthrate of 20 or higher and mandated abstinence-based sex education) as per the correct answer.\",\n \"Correctness Details\": {\n \"Alabama (20.9 - curriculum must emphasize abstinence)\": true,\n \"Arkansas (24.6 - curriculum must stress abstinence)\": true,\n \"Kentucky (21.8 - curriculum must include instruction on abstinence as the desirable goal)\": true,\n \"Louisiana (23.7 - curriculum must emphasize abstinence as the expected social standard)\": true,\n \"Mississippi (26.4 - curriculum must stress abstinence through \u201cabstinence-only\u201d or \u201cabstinence-plus\u201d instruction)\": true,\n \"Oklahoma (21.2 - curriculum must primarily inform students about abstinence)\": true,\n \"Tennessee (21 - curriculum must stress abstinence)\": true,\n \"Texas (20.4 - curriculum must emphasize abstinence)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1231, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 250, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 8, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.276} {"qid": "dsfull-782", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "34377589a03e8b7cc3944386a09b8fc3f0e575b4292ac8ad360b32dcd637f4cb", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies New Mexico as the state with the most evenly split Congressional delegation. It also provides the correct vote breakdown for New Mexico and its deviation from 50%.\",\n \"Correctness Details\": {\n \"New Mexico\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1370, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 88, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.182} {"qid": "dsfull-777", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "09d944746cf635e8581d4c46ee6886845ec9b01314c1de9c3a40830c1749f0fd", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identifies WINEGUYS L.L.C. as having 12 entries and lists both DBAs (CITY PARK GRILL and Business ID 223939). It also correctly lists all the violation numbers for each DBA. The response states 'DBA unavailable (Business ID 223939)' which is consistent with the prompt's instruction to use the business ID if the DBA is unavailable, and the correct answer only provided the ID for that DBA.\",\n \"Correctness Details\": {\n \"12 entries - WINEGUYS L.L.C\": true,\n \"DBA(s) - ID: 223939\": true,\n \"CITY PARK GRILL ID: 3652\": true,\n \"WINEGUYS 2020-2021 VIOLATION #\u2019s: CV-507944\": true,\n \"WINEGUYS 2020-2021 VIOLATION #\u2019s: CV-508002\": true,\n \"WINEGUYS 2020-2021 VIOLATION #\u2019s: CV-508056\": true,\n \"CITY PARK GRILL 2020-2021 VIOLATION #\u2019s: CV-507943\": true,\n \"CITY PARK GRILL 2020-2021 VIOLATION #\u2019s: CV-508057\": true,\n \"CITY PARK GRILL 2020-2021 VIOLATION #\u2019s: CV-508058\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1189, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 413, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 9, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 3.775} {"qid": "dsfull-783", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8eb5336f57f6160af26be0339e71f47bd2bba957705791205580bfeb7a12199e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly lists all six exoplanets with their distances from Earth, in the specified order, matching the provided correct answer precisely.\",\n \"Correctness Details\": {\n \"TOI-198 b: 77 light years\": true,\n \"TOI-2095 b: 137 light years\": true,\n \"TOI-2095 c: 137 light years\": true,\n \"TOI-4860 b: 261 light years\": true,\n \"MWC 758 c: 520 light years\": true,\n \"HD 36384 b: 683 light years\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1137, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 194, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.495} {"qid": "dsfull-785", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8f7111fb84bec0a74ab24e1d2c6948ecae02895414f9e493a45c255b0f7c6fba", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all hospitals listed in the correct answer. The table and final answer both contain each of the specified hospitals.\",\n \"Correctness Details\": {\n \"ADVENTHEALTH TAMPA\": true,\n \"HCA FLORIDA BRANDON HOSPITAL\": true,\n \"MORTON PLANT HOSPITAL\": true,\n \"MOUNT SINAI MEDICAL CENTER\": true,\n \"ST MARY'S HOSPITAL\": true,\n \"WEST BOCA MEDICAL CENTER\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1139, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 137, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.404} {"qid": "dsfull-786", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b40516960b986a03d996c5dc8c8d0dff8fa24fa12d0a21de44031c0e869d80a5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three parties that George Pataki ran under when first elected Governor of New York: Republican, Conservative, and Tax Cut Now. The response explicitly lists these parties under 'Final Answer'.\",\n \"Correctness Details\": {\n \"Republican\": true,\n \"Conservative\": true,\n \"Tax Cut Now\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 974, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 109, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.43} {"qid": "dsfull-784", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "98469c328d5781ff62913551d8be8b0bcd8fe909fa165bb13ee793dea728bf07", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the years where Doctors Without Borders USA increased their total assets: 2014, 2016, 2017, and 2020. The prompt asked for a list of years separated by commas, and the AI used semicolons, but this is a minor formatting difference and does not affect correctness.\",\n \"Correctness Details\": {\n \"2014\": true,\n \"2016\": true,\n \"2017\": true,\n \"2020\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 867, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 158, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.82} {"qid": "dsfull-787", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f160f6a1ed8df6ad6ec3a7fc34e83694a9cd6d678329cc8aeb36edeaff06df23", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Austria and Slovakia as the countries that meet all the criteria specified in the prompt. It also provides a table with supporting data and source links.\",\n \"Correctness Details\": {\n \"Austria\": true,\n \"Slovakia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1284, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 91, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.453} {"qid": "dsfull-788", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "66bee197c3c726946b48bb897889996dcf6264f75c08fd7456946f2688523597", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identifies 9 out of 9 universities from the correct answer list. However, it also includes one university (University of York) that is not part of the correct answer.\",\n \"Correctness Details\": {\n \"University of Bristol\": true,\n \"Cardiff University\": true,\n \"University of Edinburgh\": true,\n \"University of Glasgow\": true,\n \"Imperial College London\": true,\n \"University of Liverpool\": true,\n \"Newcastle University\": true,\n \"Queen's University Belfast\": true,\n \"University College London\": true\n },\n \"Excessive Answers\": [\n \"University of York\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1294, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 173, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 9, "false_positives": 1, "false_negatives": 0, "precision": 0.9, "recall": 1.0, "f1": 0.9473684210526316, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.67} {"qid": "dsfull-789", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c91862e55d1ea947a90078e058e76c1723db5b073d6239cec3f2c08fe0ab47e7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the number of mumps cases in 2001, which is the year with the second lowest incidence rate for measles among the top three years with the largest number of reported measles cases between 2000 and 2023. The number provided, 412,341, matches the correct answer.\",\n \"Correctness Details\": {\n \"412341\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 946, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 129, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.369} {"qid": "dsfull-791", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8559f4376fe09dc8afa9bffefbcc06e192c2dd383551544500a215010e0cb8f1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Sleeping Bear Dunes National Lakeshore' which matches the correct answer. The additional information about Michigan and the lighthouse are also accurate and not excessive.\",\n \"Correctness Details\": {\n \"Sleeping Bear Dunes National Lakeshore\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 848, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 89, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.076} {"qid": "dsfull-790", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "284d0704bf7614e37c7089ceaae0c1838baff1efb5d88eb40aa40b5a2de3e2aa", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three weeks from the provided correct answer that had over 15 volcanic reports, and presents them in the requested format. There are no excessive answers.\",\n \"Correctness Details\": {\n \"1 December-7 December 2010\": true,\n \"15 December-21 December 2010\": true,\n \"29 December-4 January 2011\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1090, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 130, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.647} {"qid": "dsfull-794", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7d049628ab5fedd285f9c26f5b906cb6b14eac2c5d86ff90afad4c00b8a5bcf8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identified Apple and Microsoft but incorrectly included Nvidia as meeting the conditions. Nvidia's opening price on June 1, 2023, was below $150.\",\n \"Correctness Details\": {\n \"Apple\": true,\n \"Microsoft\": true\n },\n \"Excessive Answers\": [\n \"Nvidia\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 903, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 105, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 0, "precision": 0.6666666666666666, "recall": 1.0, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.094} {"qid": "dsfull-792", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e0972d207a47450218026a20fbc97c4c30afa7fadc9d7bc0ec20038a50e4f109", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Texas' as the answer, which matches the provided correct answer. The AI also explicitly states its limitation in fully verifying the FY2023 spending comparison, acknowledging the provisional nature of its answer, which is an appropriate level of detail given the potential data constraints.\",\n \"Correctness Details\": {\n \"Texas\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1358, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 109, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.563} {"qid": "dsfull-795", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "bd231008ed10e7af1b12b8a380f61e5b6f3937d9d3990e55eff86df567a5ae45", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both Dan Carden and Peter Dowd as meeting all the specified conditions. It also provided a clear breakdown of the data used to arrive at this conclusion, including vote shares, turnouts, and IPSA business costs. The response correctly filtered out George Howarth and Stella Creasy based on the cost thresholds.\",\n \"Correctness Details\": {\n \"Dan Carden\": true,\n \"Peter Dowd\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1584, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 128, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.273} {"qid": "dsfull-793", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6f63dc4911ec2213b77a9a53d32db47dc3ba937df91d73f97e480069da839d2f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Mark Leckey as the artist from the country with the highest percentage of Muslims among those featured in the 7 performance exhibitions at MoMA in 2009. The response also provides supporting details for its answer.\",\n \"Correctness Details\": {\n \"Mark Leckey\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 969, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 103, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.834} {"qid": "dsfull-796", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "bd4e207fbd9af5cd61af49720e4dc85e2a06b4d2faf0497d77d58df7656eab36", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'The Ronettes' as the artist and 'Sleigh Ride' as the song, matching the provided correct answer.\",\n \"Correctness Details\": {\n \"The Ronettes, Sleigh Ride\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 940, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 85, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.053} {"qid": "dsfull-799", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3b03ae1001a05187aaa1c74b60a594e0e683fb00178c74449b7fb73d131800cb", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both 'Hepatitis B' and 'Rotavirus' as the diseases that meet the specified criteria.\",\n \"Correctness Details\": {\n \"Rotavirus\": true,\n \"Hepatitis B\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1087, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 87, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.037} {"qid": "dsfull-797", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "737f439ac92f48806201514db93b0830496a22b3672c46f770df326c1a48d79f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Biscayne' and 'Dry Tortugas' from the correct answer list. However, it also includes several other protected areas that are not part of the correct answer, which are marked as excessive answers.\",\n \"Correctness Details\": {\n \"Biscayne\": true,\n \"Dry Tortugas\": true\n },\n \"Excessive Answers\": [\n \"Channel Islands\",\n \"Glacier Bay\",\n \"Haleakal\u0101\",\n \"Katmai\",\n \"Kenai Fjords\",\n \"Lake Clark\",\n \"Redwood\",\n \"Wrangell\u2013St. Elias\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 934, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 169, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 8, "false_negatives": 0, "precision": 0.2, "recall": 1.0, "f1": 0.33333333333333337, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.536} {"qid": "dsfull-798", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5b5515353e6e3991db5a2f729e1bb77a13b1651b41efb352ccea6e645fb78489", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Jeremy Scott McPike' as the candidate who received the most votes, though it uses 'Jeremy S. McPike'. However, it explicitly states it could not retrieve the precinct-level results, failing to identify the three precincts requested in the prompt.\",\n \"Correctness Details\": {\n \"Jeremy Scott McPike\": true,\n \"Rosa Parks (152)\": false,\n \"King (147)\": false,\n \"Beville (179)\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1021, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 150, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 3, "precision": 1.0, "recall": 0.25, "f1": 0.4, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.673} {"qid": "dsfull-801", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c73b2116733a0f3db19f8e809943290c40c9b64e7b2d753dae898397f803f1e5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four states from the correct answer: Kentucky, Oklahoma, Louisiana, and Mississippi. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Kentucky\": true,\n \"Oklahoma\": true,\n \"Louisiana\": true,\n \"Mississippi\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1123, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 99, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.172} {"qid": "dsfull-802", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "abe23c9dacbffdb3bc933540d55311d4228cc2a512be01a4e092b3330c64e9b8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both Central Asia and Western Asia as the regions that meet all the specified criteria. The provided table accurately reflects the data for these regions, and the final answer explicitly lists them.\",\n \"Correctness Details\": {\n \"Central Asia\": true,\n \"Western Asia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1137, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 99, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.37} {"qid": "dsfull-800", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "92d7add75f4251424c517b7e2a3ff31e053df34dbe3d72a5a3b1a6a23d9a1cb7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response failed to identify the correct species, 'Lord Howe Island Southern Gecko (Christinus guentheri)'. Instead, it provided three incorrect species: 'Carrai Cave Spider (Progradungula carrai)', 'Otway Odd-clawed Spider (Progradungula otwayensis)', and 'Brush-tailed Rock-wallaby (Petrogale penicillata)'. The response also states an inability to retrieve historical data, which further indicates its failure to answer the prompt correctly.\",\n \"Correctness Details\": {\n \"Lord Howe Island Southern Gecko (Christinus guentheri)\": false\n },\n \"Excessive Answers\": [\n \"Carrai Cave Spider (Progradungula carrai)\",\n \"Otway Odd-clawed Spider (Progradungula otwayensis)\",\n \"Brush-tailed Rock-wallaby (Petrogale penicillata)\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 942, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 218, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 3, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 2.16} {"qid": "dsfull-804", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "167080f04fa3dc1a645ec55f37a28715b03b162d078186bf83fdb029ae744cea", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Jobs and the economy' as the issue that meets both specified criteria, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Jobs, economy\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 988, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 78, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.167} {"qid": "dsfull-805", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0ade7ecab20629b46ad1f6ecbd5ea6d6466d51addc07d74f7a1386645677809e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all three countries that consistently exported over 1 billion dollars of unroasted coffee beans annually between 2018 and 2021: Brazil, Colombia, and Vietnam. The response did not include any excessive answers.\",\n \"Correctness Details\": {\n \"Brazil\": true,\n \"Vietnam\": true,\n \"Colombia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1097, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 115, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.124} {"qid": "dsfull-803", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "bcfcc7c8c40842ec4caa1003daf2a9ab40a1de2c26138eb4648a5d7afed44ba5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies La-Z-Boy as having the highest percentage of long-lived assets in international markets. The correct answer is Ethan Allen Interiors Inc. The AI also indicates it couldn't verify the information, which further suggests its answer is not reliable.\",\n \"Correctness Details\": {\n \"Ethan Allen Interiors Inc.\": false\n },\n \"Excessive Answers\": [\n \"La-Z-Boy\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 900, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 120, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.45} {"qid": "dsfull-809", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4f65e6244c6a16d1d156fc3b16bcb189d06a641d38cb1f2735865f7b805c77a8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all countries from the 'Correct Answer': Albania, Bulgaria, and Georgia. There are no excessive answers provided.\",\n \"Correctness Details\": {\n \"Georgia\": true,\n \"Albania\": true,\n \"Bulgaria\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1088, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 93, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.915} {"qid": "dsfull-810", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "df838fd700c1ad899989ffe2ab438b57fd50aea204f7e3deac7b777e41420993", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both 'Myanmar' and 'Thailand' as the countries that meet the criteria. It also provided supporting details for each country.\",\n \"Correctness Details\": {\n \"Myanmar\": true,\n \"Thailand\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1105, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 87, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.916} {"qid": "dsfull-806", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f29af633ac2e3da28d9169c4ae45209eef29130110a7226e1e7109abf2a858fd", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response explicitly states that it could not access the required information to provide the list of species. Therefore, it did not provide any of the correct answers.\",\n \"Correctness Details\": {\n \"Gardnerycteris crenulatum\": false,\n \"Lonchorhina aurita\": false,\n \"Lophostoma silvicolum\": false,\n \"Phyllostomus elongatus\": false,\n \"Phyllostomus hastatus\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 998, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 139, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 5, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.199} {"qid": "dsfull-807", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "fcc8eafe304fdcfa4b52b81b8fe52a860a5afa78fdb863172cb6d22b86f8c64e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Applications of Mathematics' as the subject with the higher grade A boundary, which matches the provided correct answer. The AI also correctly identifies that Applications of Mathematics and Mathematics were among the nine most popular subjects. The AI also includes a disclaimer about not being able to extract the grade-boundary spreadsheet to verify the comparison. This disclaimer does not make the answer incorrect.\",\n \"Correctness Details\": {\n \"Applications of Mathematics\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 918, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 129, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.311} {"qid": "dsfull-808", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b1b9df3f6e44ead977796ab47736f51e6ba5d922a921b807853b205c13418ee5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the authors listed in the provided correct answer. The response also categorizes authors based on how many papers they appeared in, which is an additional detail but does not introduce incorrect authors.\",\n \"Correctness Details\": {\n \"Conor A. Nixon\": true,\n \"Joseph Serigano\": true,\n \"Martin A. Cordiner\": true,\n \"Nicholas A. Teanby\": true,\n \"Patrick G. J. Irwin\": true,\n \"Steven B. Charnley\": true,\n \"Yi-Jehng Kuan\": true,\n \"Zbigniew Kisiel\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1078, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 177, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 8, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.775} {"qid": "dsfull-814", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0779762fe8ef0f9bdc3b8f4e4c1e981aeccc0a83288688ea57a156d132292317", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies North America as the region with the least native species of the Accipitridae family, which matches the provided correct answer.\",\n \"Correctness Details\": {\n \"North America\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 871, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 81, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.147} {"qid": "dsfull-813", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4d900d54c58ebb33c8af7f0372c977f63d588d0522f401393b03284e80c44acd", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Axe Valley Academy and Court Fields School. However, it incorrectly included Clyst Vale Community College as a school with a 'Requires Improvement' rating, which was not part of the correct answer set. It also included an unnecessary clarification about published ratings.\",\n \"Correctness Details\": {\n \"Axe Valley Academy\": true,\n \"Court Fields School\": true\n },\n \"Excessive Answers\": [\n \"Clyst Vale Community College\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1050, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 129, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 0, "precision": 0.6666666666666666, "recall": 1.0, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.299} {"qid": "dsfull-812", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "11d30353a04477b606feec5b172041ed2bbc1dceb7b4caaa4fbcaa87ff98b219", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response explicitly states that it is unable to retrieve the requested information and cannot provide the PRA numbers. Therefore, it does not provide any of the correct answers.\",\n \"Correctness Details\": {\n \"2020/18315\": false,\n \"2020/18164\": false,\n \"2020/18098\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1054, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 124, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 3, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.316} {"qid": "dsfull-811", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "de3fa5fcfdcc7b8477ef36d5bbec1687c3eaa61604ec30bf9374ab36fe79622d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI explicitly states it could not verify the 10-state set due to blocked access to Autism Speaks data. Therefore, it does not provide any of the requested states, making all correct answer parts false.\",\n \"Correctness Details\": {\n \"Mississippi\": false,\n \"West Virginia\": false,\n \"Oklahoma\": false,\n \"Ohio\": false,\n \"Missouri\": false,\n \"Montana\": false,\n \"Iowa\": false,\n \"Wisconsin\": false,\n \"Connecticut\": false,\n \"North Dakota\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 963, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 158, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 10, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.422} {"qid": "dsfull-815", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "fe420bf4efac8349dcaad485780d51e3673de8b0e1dadbb735bdf75a3ba92cb9", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all three regions listed in the correct answer: Australia & New Zealand, Southeastern Asia, and Southern Asia. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Australia & New Zealand\": true,\n \"Southeastern Asia\": true,\n \"Southern Asia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 917, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 103, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.051} {"qid": "dsfull-817", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d81c776941248cd12c58b55d7a08b4c774c9a6885ac0583f8d86403d68986495", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both Nikita Navolokin and Alexander Shirokov as authors who collaborated with the first-listed author on a different paper, matching the provided correct answer.\",\n \"Correctness Details\": {\n \"Nikita Navolokin\": true,\n \"Alexander Shirokov\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 994, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 100, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.072} {"qid": "dsfull-816", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "57ced5daad7e58e99e5972eaa2ddd19d1277cdf85175b80227301c402a7c6bc1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all eight authors who contributed articles to the NAWE's Writing in Education journal, vol 33 'Writing & Location', matching the provided correct answer.\",\n \"Correctness Details\": {\n \"Bryan Podmore\": true,\n \"Sarah Wardle\": true,\n \"Martin Goodman\": true,\n \"Fred Sedgwick\": true,\n \"Paul Munden\": true,\n \"Maggie Butt\": true,\n \"Keith Bennett\": true,\n \"Carl Tighe\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 916, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 150, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 8, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.233} {"qid": "dsfull-818", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a3342d456ad5cb0ae0e684885e78602e1d748a406e8921950ec30d61663ae0d7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four Impressionist oil paintings by Pennsylvania-born American women completed before 1900 from the Art Institute of Chicago's collection, matching all items in the correct answer.\",\n \"Correctness Details\": {\n \"Dorothea and Francesca by Cecilia Beaux\": true,\n \"On a Balcony by Mary Cassatt\": true,\n \"After the Bullfight by Mary Cassatt\": true,\n \"The Child's Bath by Mary Cassatt\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1067, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 142, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.354} {"qid": "dsfull-819", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "dfb6119afa24c22e9036c384a1378526906b8964f2c5410fce632b0d69d2ef9f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the counties listed in the correct answer: Ada, Oneida, Madison, Caribou, Bonneville, and Butte. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Ada\": true,\n \"Oneida\": true,\n \"Madison\": true,\n \"Caribou\": true,\n \"Bonneville\": true,\n \"Butte\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1036, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 126, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.337} {"qid": "dsfull-820", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "60d7d608eae0465e827449df3d02b6d9060d46e3c9b66d0521fa670b04622c4a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies UNSW Sydney as the answer. The correct answer is Monash University.\",\n \"Correctness Details\": {\n \"Monash University\": false\n },\n \"Excessive Answers\": [\n \"UNSW Sydney (University of New South Wales)\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1162, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 88, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.082} {"qid": "dsfull-821", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "28c9e7481ba6ac88e97ac7aa58e02cb74278e96663eb03ee62eda9f06ed14bb7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the University of Florida as the answer, which matches the single correct answer provided.\",\n \"Correctness Details\": {\n \"University of Florida\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 945, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 73, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.768} {"qid": "dsfull-825", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d37c023ad7dbae99a2f61c18cbee918c8b0cc24593a6c0f4e220810328bb3127", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the number '3' as the answer, which matches the single correct answer provided.\",\n \"Correctness Details\": {\n \"3\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 894, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 72, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.81} {"qid": "dsfull-822", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2562244985cd07b0db1210936bd3370f01dc31b0318935b01ad316f56d70d709", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Utah but missed Colorado, Montana, North Dakota, and Vermont. It also included Idaho, which is not in the correct answer set.\",\n \"Correctness Details\": {\n \"Colorado\": false,\n \"Montana\": false,\n \"North Dakota\": false,\n \"Utah\": true,\n \"Vermont\": false\n },\n \"Excessive Answers\": [\n \"Idaho\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 954, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 119, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 1, "false_negatives": 4, "precision": 0.5, "recall": 0.2, "f1": 0.28571428571428575, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.147} {"qid": "dsfull-824", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b7328873c6f48840ec9dd2874d2b42615ad60f70ffb20e00e670d800f1edffa0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Butter' as the commodity with a greater percentage increase in production, which matches the correct answer.\",\n \"Correctness Details\": {\n \"Butter\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1038, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 75, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.012} {"qid": "dsfull-823", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "edbfd2881e727937dc122c412b34616db52d4ce4afbfad6e86f4d936340dc8aa", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both 'Herrera Beutler' (as 'Beutler') and 'McMorris Rodgers' (as 'Rodgers') as specified in the correct answer. The prompt asked for last names, which the AI provided. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Herrera Beutler\": true,\n \"McMorris Rodgers\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 888, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 120, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.348} {"qid": "dsfull-826", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "82fc8436346c35b00189bdcc65084dd8fd3e22a136893bb6bdf98921e93d4fda", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Burnaby, Langley, and Surrey as municipalities with an increase of 10,000 vehicles or more. However, it missed Richmond and incorrectly included Abbotsford and Vancouver as excessive answers.\",\n \"Correctness Details\": {\n \"Surrey\": true,\n \"Burnaby\": true,\n \"Richmond\": false,\n \"Langley\": true\n },\n \"Excessive Answers\": [\n \"Abbotsford\",\n \"Vancouver\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 937, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 135, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 2, "false_negatives": 1, "precision": 0.6, "recall": 0.75, "f1": 0.6666666666666665, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.13} {"qid": "dsfull-829", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "81b9c715a8d1213428dccb961b56766d76fc5752ba794fbc26aa46cb0a46c577", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified that there were 2 other articles co-published by the specified authors in the same year, matching the correct answer.\",\n \"Correctness Details\": {\n \"2\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1083, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 79, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.035} {"qid": "dsfull-828", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "98a924200a454a913a0b9cb07150716059b19f4056b8714dd812a2f0b45adf58", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both Antonin Scalia and Elena Kagan as the authors of the opinions in the cited cases, which matches the provided correct answer. The response also correctly links each justice to the respective case.\",\n \"Correctness Details\": {\n \"Elena Kagan\": true,\n \"Antonin Scalia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1016, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 104, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.117} {"qid": "dsfull-827", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c2d24381354faa3bd9eb3260f91263baf66d4d4c9bf29125ae3461669d153af6", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Arkansas, Mississippi, and West Virginia. However, it incorrectly included Louisiana as a state that meets the criteria, and it missed Oklahoma.\",\n \"Correctness Details\": {\n \"Arkansas\": true,\n \"Mississippi\": true,\n \"Oklahoma\": false,\n \"West Virginia\": true\n },\n \"Excessive Answers\": [\n \"Louisiana\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 892, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 112, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 1, "false_negatives": 1, "precision": 0.75, "recall": 0.75, "f1": 0.75, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.136} {"qid": "dsfull-830", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "648688521457119a3855bc389804729d576769795e0fc02e088dff837956c6a7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Columbia and Wahkiakum counties. However, it missed Ferry County and included Garfield County and Lincoln County which are not in the correct answer set.\",\n \"Correctness Details\": {\n \"Ferry\": false,\n \"Columbia\": true,\n \"Wahkiakum\": true\n },\n \"Excessive Answers\": [\n \"Garfield County\",\n \"Lincoln County\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 917, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 117, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 2, "false_negatives": 1, "precision": 0.5, "recall": 0.6666666666666666, "f1": 0.5714285714285715, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.302} {"qid": "dsfull-831", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f42f4194b0dc7423e62d56319ee3649d578c0e3dfd779e79cbcef0d5eab08774", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three family members and their respective first capped years as requested in the prompt and matches the correct answer. The naming convention for the daughter is also accurate.\",\n \"Correctness Details\": {\n \"Tom(1938)\": true,\n \"Tommy(1966)\": true,\n \"Emily Hopkins (Dowling) (1967)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 968, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 123, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.244} {"qid": "dsfull-832", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "250897cc2fb38629f21ee6bd6c22c435251a129d8d18ecc7ac5a2fc8895c0cf7", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three books from the correct answer: 'The Hate U Give', 'A Day in the Life of Marlon Bundo', and 'Sex is a Funny Word'. The response provides the exact list of books requested.\",\n \"Correctness Details\": {\n \"The Hate U Give\": true,\n \"A Day in the Life of Marlon Bundo\": true,\n \"Sex is a Funny Word\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1073, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 127, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.091} {"qid": "dsfull-833", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "66f3ed6b704a5124df5df24b651621d848a9b007857b3a2a4d194535192086b2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the articles listed in the correct answer. Additionally, it included one article that was not in the correct answer: 'Prospective study of gram-stained stool smears in diagnosis of Clostridium difficile colitis'.\",\n \"Correctness Details\": {\n \"Comparison of the VIDAS Clostridium difficile toxin A immunoassay with C. difficile culture and cytotoxin and latex tests\": true,\n \"Comparison of traditional gas chromatography (GC), headspace GC, and the microbial identification library GC system for the identification of Clostridium difficile\": true,\n \"Detection of gyrA gene mutations associated with ciprofloxacin resistance in methicillin-resistant Staphylococcus aureus: analysis by polymerase chain reaction and automated direct DNA sequencing\": true,\n \"Detection of asymptomatic Clostridium difficile carriage by an alcohol shock procedure\": true\n },\n \"Excessive Answers\": [\n \"Prospective study of gram-stained stool smears in diagnosis of Clostridium difficile colitis\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1380, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 226, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 1, "false_negatives": 0, "precision": 0.8, "recall": 1.0, "f1": 0.888888888888889, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.715} {"qid": "dsfull-836", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "fec5a97d2a0e125114282568800172dae3cddb56bb5b58284ea87be686728b26", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified John H. G. Scott as the coauthor. The additional context and links provided by the AI are accurate and support the answer, but they are not the primary answer itself.\",\n \"Correctness Details\": {\n \"John H.G. Scott\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 939, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 96, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.093} {"qid": "dsfull-834", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0f71ec9817b0053f8f3e84fa6d98418ee8239ff7ba6d3ce60a66413499e91dd3", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Kelumapusaura machi' and 'Maip Macrothorax'. However, it also included 'Menucocelsior arriagadai' as an excessive answer, which was not part of the correct answer set.\",\n \"Correctness Details\": {\n \"Kelumapusaura machi\": true,\n \"Maip Macrothorax\": true\n },\n \"Excessive Answers\": [\n \"Menucocelsior arriagadai\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1117, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 130, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 0, "precision": 0.6666666666666666, "recall": 1.0, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 2.156} {"qid": "dsfull-837", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "fb88576ba621fa4ec4615e8e2cd09afd75dac8a15c531f0eaec4cd7b6510550e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Cancers and Cardiovascular Diseases. It incorrectly identified 'Lower respiratory infections (pneumonia)' as a common cause, while the correct answer states 'Pneumonia'. It also incorrectly identified 'Digestive diseases' as a common cause, which is not in the correct answer. The AI response missed 'Dementia' as a common cause.\",\n \"Correctness Details\": {\n \"Cancers\": true,\n \"Cardiovascular Diseases\": true,\n \"Dementia\": false,\n \"Pneumonia\": false\n },\n \"Excessive Answers\": [\n \"Lower respiratory infections (pneumonia)\",\n \"Digestive diseases\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 936, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 169, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 2, "false_negatives": 2, "precision": 0.5, "recall": 0.5, "f1": 0.5, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.128} {"qid": "dsfull-835", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9f5495874b8d6e04b48bc02db31608616b79a1e1b1718c21838867265095af2f", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the requested information: the bacteria found higher (Sutterella stercoricanis) and lower (Bifidobacterium bifidum) in the ADHD group, the probiotic supplement (Bifidobacterium bifidum strain Bf-688) and placebo (maltodextrin) given, and the total number of participants enrolled (150).\",\n \"Correctness Details\": {\n \"Investigators previously found the relative abundance of Sutterella stercoricanis was increased and Bifidobacterium bifidum was decreased in the ADHD group.\": true,\n \"The probiotics group was supplemented with BF688, administered as a packet twice daily (morning and evening, 5\u00d710^9 CFUs total per day)\": true,\n \"The control group was administered a packet of maltodextrin twice daily (morning and evening, as placebo of Bf-688)\": true,\n \"150 participants were enrolled in the study.\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1199, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 248, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.87} {"qid": "dsfull-838", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "22ee57fb1b463d76317dee6f5444f25846cf24e84f67c778ed12cbec3186148a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'New York City' as the city with the oldest current mayor, which matches the single correct answer provided.\",\n \"Correctness Details\": {\n \"New York City\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1083, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 79, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.894} {"qid": "dsfull-839", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "bda02308b57f8ee13fa31da92325e69b2e805a1b1d89241b563a94144eb6201a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the candidates listed in the correct answer. The table and final answer list all the specified candidates. The AI explicitly states its interpretation of 'region' as 'electorate', which is consistent with the implied interpretation in the correct answer.\",\n \"Correctness Details\": {\n \"Vanessa Weenink\": true,\n \"Chris Bishop\": true,\n \"Carlos Cheung\": true,\n \"Paulo Garcia\": true,\n \"Ingrid Leary\": true,\n \"Maureen Pugh\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1117, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 149, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.548} {"qid": "dsfull-840", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e6efd8c0f3e95549c7d40363e06b5634603bb98808632be26e6bf9baba9187a0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the years from the correct answer (2001, 2003, 2005, 2010). It provides a table supporting its findings and lists the years clearly at the end. There are no excessive answers.\",\n \"Correctness Details\": {\n \"2001\": true,\n \"2003\": true,\n \"2005\": true,\n \"2010\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1182, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 141, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.238} {"qid": "dsfull-841", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6fe900e31c2f196d3316c1b88b132231215a0552552300ebf029526d2a02d1f9", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response failed to identify all the correct states (Florida and Washington are missing) and included several incorrect states (Georgia, Michigan, North Carolina, Ohio, Virginia). The AI explicitly states it couldn't fully verify the data, leading to a 'best prediction' which turned out to be largely inaccurate.\",\n \"Correctness Details\": {\n \"Florida\": false,\n \"Illinois\": true,\n \"Pennsylvania\": true,\n \"Washington\": false\n },\n \"Excessive Answers\": [\n \"Georgia\",\n \"Michigan\",\n \"North Carolina\",\n \"Ohio\",\n \"Virginia\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1032, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 162, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 5, "false_negatives": 2, "precision": 0.2857142857142857, "recall": 0.5, "f1": 0.36363636363636365, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.488} {"qid": "dsfull-843", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7feac21e30e65f697b4919b67e9af7300b751226aee2a528b4ebc42f7c47364e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both 'Kidney diseases' and 'Road injury' as the causes of death that fit the criteria. The response also provides context by mentioning other causes that were in the global top eight, but this information is not considered excessive as it helps clarify why only these two were selected.\",\n \"Correctness Details\": {\n \"Kidney diseases\": true,\n \"road injury\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1017, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 121, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.139} {"qid": "dsfull-842", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5e2b5ad00ee02093ea9984261e19f940b2099760d69c2e9d8e381f0d8271b59a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all five countries from the provided correct answer. The 'Final Answer' section explicitly lists each country, and the table also supports these findings with the relevant data.\",\n \"Correctness Details\": {\n \"Bulgaria\": true,\n \"Latvia\": true,\n \"Romania\": true,\n \"Turkmenistan\": true,\n \"Ukraine\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1247, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 120, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.379} {"qid": "dsfull-844", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "d0df3564163be1bfd34fda7482b11c8b5face2a62815aa6c86d2f2c089f1cea4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all three original sponsors listed in the correct answer: Elton Gallegly, Henry E. Brown, Jr., and James P. Moran. The response provides these names clearly in a table and in the 'Final Answer' section. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Elton Gallegly\": true,\n \"Henry E. Brown, Jr.\": true,\n \"James P. Moran\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1178, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 134, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.08} {"qid": "dsfull-845", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "dce5d0cc54402d4170b9efe4f9dcb54f5e84684e4e2cd29f5d048ad2baf2d837", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identifies all counties from the provided correct answer. However, it also includes 'Santa Clara County' which is not in the correct answer list, making it an excessive answer.\",\n \"Correctness Details\": {\n \"Alameda County\": true,\n \"Los Angeles County\": true,\n \"Orange County\": true,\n \"Riverside County\": true,\n \"Sacramento County\": true,\n \"San Bernardino County\": true,\n \"San Diego County\": true\n },\n \"Excessive Answers\": [\n \"Santa Clara County\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 973, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 152, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 7, "false_positives": 1, "false_negatives": 0, "precision": 0.875, "recall": 1.0, "f1": 0.9333333333333333, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.361} {"qid": "dsfull-848", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "ac66a0943a8c04a6e2aff60f77873505e9940a284be8d8c915a778daada769e6", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response correctly identifies all four universities present in the correct answer: Harvard University, Stanford University, University of Cambridge, and University of Oxford. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Harvard University\": true,\n \"Stanford University\": true,\n \"University of Cambridge\": true,\n \"University of Oxford\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 975, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 111, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.068} {"qid": "dsfull-846", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b3ecc93dd029ae0bd37153bd3ed8af36beabc85f39ecd3c2e367b5c63619de46", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Sheppy's Low Alcohol Classic Cider' and 'Adnams Wild Wave Non-Alcoholic 0.5% Cider' as per the correct answer. However, it missed 'Thatchers Zero English Cider' which is also a correct answer.\",\n \"Correctness Details\": {\n \"Sheppy's Low Alcohol Classic Cider\": true,\n \"Thatchers Zero English Cider\": false,\n \"Adnams Wild Wave Non-Alcoholic 0.5% Cider\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1148, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 148, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.6666666666666666, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.364} {"qid": "dsfull-847", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "555564e6bdf0751e16f8e07f2012ee49d245e2183b2bb6dae7604ab4412eebf3", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'The Buckle' as having the highest market-to-book ratio. However, it also calculates and presents market-to-book ratios for Boot Barn and Dick's Sporting Goods, which were not explicitly requested to be displayed, although they are part of the calculation process.\",\n \"Correctness Details\": {\n \"The Buckle, Inc.\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1226, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 117, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.416} {"qid": "dsfull-849", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "eccee04fd14521f0bb8697c610d928812e1fe5c8a97068718839f84aacd25f9e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response failed to include 2015, which is a correct answer. It also included 2014 and 2017 as answers, which are not in the correct answer set. While 2016 was correctly identified, the overall correctness is poor due to the missing and excessive answers.\",\n \"Correctness Details\": {\n \"2015\": false,\n \"2016\": true\n },\n \"Excessive Answers\": [\n \"2014\",\n \"2017\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 879, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 149, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 2, "false_negatives": 1, "precision": 0.3333333333333333, "recall": 0.5, "f1": 0.4, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.1} {"qid": "dsfull-852", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8207012401a4afec5eedee06aaf24b6fc5f75350d645cee258e0647b6baa8543", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both the University of Alabama and the University of Florida, which are the two correct answers. There are no excessive answers.\",\n \"Correctness Details\": {\n \"University of Alabama\": true,\n \"University of Florida\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1143, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 90, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.897} {"qid": "dsfull-851", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "7789ab9d7a7e50abd45b2f53a9d9a720f936bd1b0cc41468b18b00c423b2b72d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Advanced Higher' as the qualification level where FE colleges consistently achieved a higher grade A attainment rate than education authorities from 2019 - 2023, which matches the correct answer. The response also provides supporting data.\",\n \"Correctness Details\": {\n \"Advanced Higher\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1042, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 104, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.086} {"qid": "dsfull-850", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a32b82c1bd8311b13bed20b644fbb6eddff9ffef34e7aeacfbbf7686b2b9333a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Finland as the answer, which matches the provided correct answer. The AI also explicitly stated the limitations of its search when it mentioned it could not fully verify the OECD's 2023 top-ten mammography ranking, but it still managed to provide the correct answer.\",\n \"Correctness Details\": {\n \"Finland\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 874, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 111, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.232} {"qid": "dsfull-854", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6b4cece92623ce7ce04972895a6276f5283abce0dda3f69b45d2627aea661b6a", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Botswana as the country with the highest mean inflation among the specified countries, matching the correct answer.\",\n \"Correctness Details\": {\n \"Botswana\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1236, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 75, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.122} {"qid": "dsfull-853", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2bfb4f94fe4dc1687a3256b32dad8b03fc5637f0f381a40ca00dcb315266c82e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Lynxair International' as the airline with the highest percent increase, which aligns with the correct answer 'Lynx Air International'. The slight difference in capitalization and 'Air' vs 'air' is negligible.\",\n \"Correctness Details\": {\n \"Lynx Air International\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1064, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 101, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 2.011} {"qid": "dsfull-857", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "52cee6e48ea5c7e7f25ed54fc7edea8913c36855856390a8455d8295858ce553", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies Texas as the answer, stating it's 'My best-supported answer' and then 'not a fully verified three-source result' due to inability to retrieve 2022 stroke data. The correct answer is Ohio. The AI's inability to retrieve the necessary data led to an incorrect conclusion.\",\n \"Correctness Details\": {\n \"Ohio\": false\n },\n \"Excessive Answers\": [\n \"Texas\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1232, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 126, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.241} {"qid": "dsfull-858", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a4c20e2face809d25f5a08bc10c825d22a67426b241e8dc7a59de0575452302e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Richard Stone as the individual who meets all the specified criteria. It correctly details why Richard Stone is the answer.\",\n \"Correctness Details\": {\n \"Richard Stone\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1026, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 78, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.086} {"qid": "dsfull-859", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "49fb64761540d308e0a2ab22ce43cae6f217c58c895e61bcc97904cd7f12b69b", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both the Swinomish Indian Tribal Community and the Upper Skagit Indian Tribe, which are the two tribes that meet all the specified criteria. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Swinomish Indian Tribal Community\": true,\n \"Upper Skagit Indian Tribe\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1098, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 106, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.122} {"qid": "dsfull-860", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "88507e3228bf8037a768250ef0039ebc8d506f8a0994034defe98a18abcaea75", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all companies and their abbreviated state locations as requested in the prompt and provided in the correct answer. The response also clarifies that it is providing state locations, not states of incorporation, which is helpful context.\",\n \"Correctness Details\": {\n \"McCormick & Schmicks Seafood Restaurants Inc.\": true,\n \"OR\": true,\n \"BOWFLEX INC.\": true,\n \"WA\": true,\n \"ROLLINS INC\": true,\n \"GA\": true,\n \"DUQUESNE ENTERPRISES INC\": true,\n \"PA\": true,\n \"Global Medical Response, Inc.\": true,\n \"CO\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1336, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 184, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 10, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.587} {"qid": "dsfull-861", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b9351ee9bec60b613c866e998d879bf7bee8a976e7c83b44aed4588c26302f45", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies 'Africa' as the region with the largest median population in 2019 among those with the largest decrease in arrivals to the UK between 2018 and 2019. The correct answer is 'East Asia and the Pacific'.\",\n \"Correctness Details\": {\n \"East Asia and the Pacific\": false\n },\n \"Excessive Answers\": [\n \"Africa\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 906, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 120, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.161} {"qid": "dsfull-862", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4f199d71cadd7029ae7a3a94e8c4b7d21c8e314e13c4bda856471880c25aeec4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Atlanta Children's Shelter and Families First from the correct answer set. However, it missed 'Hosea Feed the Hungry and Homeless'. It also noted that it could not verify the 2021 line-8 amount for Families First, which was a condition of the prompt.\",\n \"Correctness Details\": {\n \"Atlanta Children's Shelter\": true,\n \"Families First\": true,\n \"Hosea Feed the Hungry and Homeless\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1106, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 139, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.6666666666666666, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.246} {"qid": "dsfull-863", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "cd82cf9831e0ceb08d9f2cdf1d24e8ad228b47216cf810cbff834a5ef79d2233", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response explicitly states that it is unable to determine the years reliably. This indicates a failure to provide the correct answer as listed in the 'Correct Answer'.\",\n \"Correctness Details\": {\n \"2019\": false,\n \"2022\": false,\n \"2023\": false,\n \"2024\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 917, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 116, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 4, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.024} {"qid": "dsfull-864", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "847245378d3b936c6b23efd23f3e08afea795773a7da16cb9094f26df115e17c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three individuals listed in the correct answer (Al Gore, Muhammad Yunus, Desmond Tutu). The response also provides the relevant years for both awards for each person, confirming they meet the specified criteria (Ripple of Hope Award before 2017 and Nobel Prize before 2010).\",\n \"Correctness Details\": {\n \"Al Gore\": true,\n \"Muhammad Yunus\": true,\n \"Desmond Tutu\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1009, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 137, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.037} {"qid": "dsfull-856", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "873eb42a97e6e645c32794e98d44df394d09e1ff3c3057d3831c8a6c3bfda9f9", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'London Luton Airport' as the airport with the smallest percentage of flight cancellations based on the specified criteria. The response also provides supporting data and reasoning, which, while not explicitly asked for, reinforces the correct answer.\",\n \"Correctness Details\": {\n \"Luton\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1259, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 100, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 4.312} {"qid": "dsfull-855", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5f581cfc98d81bb50b402be135dd8bd34927726e4c166fa0be3c9ac193ac696c", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the authors cited in the specified article and listed them in alphabetical order by last name as requested. The response also correctly identified the first author of the initial article and the subsequent article.\",\n \"Correctness Details\": {\n \"Aad van Ast\": true,\n \"Lammert Bastiaans\": true,\n \"Stella Kabiri\": true,\n \"Hanna Kool\": true,\n \"Stefanie Pflug\": true,\n \"Jonne Rodenburg\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1038, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 145, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 6, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 4.529} {"qid": "dsfull-865", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8bd9a3be14d52e20ffef2fdd73007a7a92ab8c6aa5aff428c351a44cd10b4aea", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified Japan and the United States of America. However, it incorrectly included Australia and missed Russia from the correct answer.\",\n \"Correctness Details\": {\n \"Japan\": true,\n \"Russia\": false,\n \"United States of America\": true\n },\n \"Excessive Answers\": [\n \"Australia\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1196, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 102, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 1, "precision": 0.6666666666666666, "recall": 0.6666666666666666, "f1": 0.6666666666666666, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.127} {"qid": "dsfull-866", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "df009124764523bd83d958fc931ca1da68811adfd2b323bfcc903d6f3aa746cb", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Leander' as the common ship name, which aligns with the correct answer 'HMS Leander'. The response explicitly states 'Leander' is the common name and then provides 'Final Answer: Leander'.\",\n \"Correctness Details\": {\n \"HMS Leander\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 974, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 101, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.96} {"qid": "dsfull-867", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "185d2c12b74cb17c137762e92ad5bcd7ea25e7456bf7906e75bb9eafabda3fd0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified the Netherlands as the country that fits the criteria. It also provided a table with the data and steps to reach the conclusion.\",\n \"Correctness Details\": {\n \"Netherlands\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1186, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 80, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.162} {"qid": "dsfull-869", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "051ef269295aa9d5618be47fe625b33b244a63b58e18d5561b6416303d4cb1dc", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Orange County, Florida' which matches the provided correct answer. The AI also provides supporting data for its answer which is not asked by the prompt, but it does not make the answer incorrect or excessive.\",\n \"Correctness Details\": {\n \"Orange County, Florida\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1125, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 99, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.885} {"qid": "dsfull-868", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3b3cf3ba85c2efdb168edee7dc00e4529b7103f8858d6cff3fd69d8d061820c1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified California, New York, New Jersey, and Massachusetts. However, it also included Illinois and Maryland, which are not part of the correct answer set. The AI explicitly states a verification limitation for the health-rate conditions.\",\n \"Correctness Details\": {\n \"California\": true,\n \"New York\": true,\n \"New Jersey\": true,\n \"Massachusetts\": true\n },\n \"Excessive Answers\": [\n \"Illinois\",\n \"Maryland\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1125, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 135, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 2, "false_negatives": 0, "precision": 0.6666666666666666, "recall": 1.0, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 1.37} {"qid": "dsfull-871", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "cabbe4ef2bf288b91dfb328076c219eb2aee17b4dbab4df51db3c9ace432f261", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies Colombia as the answer. The correct answer is South Sudan. The AI's explanation uses incorrect data to justify its choice.\",\n \"Correctness Details\": {\n \"South Sudan\": false\n },\n \"Excessive Answers\": [\n \"Colombia\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 978, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 89, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.026} {"qid": "dsfull-870", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e9b9a302063cc3920f239bf9472b301e152516e0093c6cf46e7a3e321563a8bf", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Canada' as the answer, which matches the provided correct answer. The AI also provides supporting data about the female population percentage and acknowledges limitations in verifying all conditions, which is not an error in terms of correctness of the main answer.\",\n \"Correctness Details\": {\n \"Canada\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1013, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 102, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.34} {"qid": "dsfull-872", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "5d44960babab05733e8514dc1d3898a83e05a5136911ef9f05ff41f530b4e8c1", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies 'Japan' as the closest country when the correct answer is 'Netherlands'. The response's calculations and filtering lead to an erroneous conclusion.\",\n \"Correctness Details\": {\n \"Netherlands\": false\n },\n \"Excessive Answers\": [\n \"Japan\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1213, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 91, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.305} {"qid": "dsfull-874", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0f793248e669695ccc41af8b371c55e566d9a07348e4ec9bb01c6b234c8fb5d8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Clarence and Hobart as LGAs that meet the criteria. However, it incorrectly includes 'Brighton' as an LGA with a population over 20,000, which is an excessive answer.\",\n \"Correctness Details\": {\n \"Clarence\": true,\n \"Hobart\": true\n },\n \"Excessive Answers\": [\n \"Brighton\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 938, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 114, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 1, "false_negatives": 0, "precision": 0.6666666666666666, "recall": 1.0, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": true, "wall_s": 0.971} {"qid": "dsfull-873", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e8763bf5c435b527ee242cb741596781167ae9020a633ed35a26e3b95255850d", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both 2015 and 2016 as the years where government grants and contracts made up more than 10% of the university's operating revenues, matching the correct answer exactly.\",\n \"Correctness Details\": {\n \"2015\": true,\n \"2016\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 949, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 110, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.27} {"qid": "dsfull-876", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "816ac0d83b96981fb16ef06768c0ad08470abad4d1167c029c5baf25fc4917dc", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both 'West Boulevard Street' and 'West Curtis Street' which are the correct answers. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"(West) Boulevard Street\": true,\n \"(West) Curtis Street\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 964, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 92, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.933} {"qid": "dsfull-875", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "8f21ef13385e74e9a28afbdca8123797c7b02720c1ed836cbe967c4068e23bcf", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The response identifies West Midlands and East Midlands, both of which are correct. However, it misses Yorkshire & The Humber from the correct answer set.\",\n \"Correctness Details\": {\n \"West Midlands\": true,\n \"Yorkshire & The Humber\": false,\n \"East Midlands\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1201, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 99, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 1, "precision": 1.0, "recall": 0.6666666666666666, "f1": 0.8, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.143} {"qid": "dsfull-877", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "6403d1638dd94d7503b88041eea0b22c5bfee7852309096498a317877ffcb2a4", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both Nova Scotia and Newfoundland and Labrador as stated in the correct answer. The AI also provided a detailed breakdown of its reasoning, including intermediate steps and data sources, which is helpful context.\",\n \"Correctness Details\": {\n \"Novia Scotia\": true,\n \"Newfoundland and Labrador\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1257, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 104, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.944} {"qid": "dsfull-878", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "65c59f8f965013f6ed4853d1c942d9ff6fced70c35aa7e17a8e30f540ac55597", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Maui County' as the county with the biggest drop, which matches the provided correct answer.\",\n \"Correctness Details\": {\n \"Maui County\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 941, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 75, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.972} {"qid": "dsfull-879", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e8ee0aa7543013f75da215663fafc1ff50c315442829b1e366e2cf56efedddd8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the 'American Leopard Hound' as the answer, which matches the provided correct answer. The AI also includes a disclaimer about not being able to independently verify all numerical ratings, which is extraneous but does not detract from the correctness of the answer itself.\",\n \"Correctness Details\": {\n \"American Leopard Hound\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 897, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 106, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.165} {"qid": "dsfull-880", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2bc9c68b9cd889a5df5cc5273e743ebf934d219dd11c95939eebfbe0fe573946", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all four books and their authors listed in the 'Correct Answer'. It also presents them in the requested order (by author birth year from furthest back to most recent).\",\n \"Correctness Details\": {\n \"Fences by August Wilson\": true,\n \"It by Stephen King\": true,\n \"Snow Falling on Cedars by David Guterson\": true,\n \"The Perks of Being a Wallflower by Stephen Chbosky\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1213, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 136, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.12} {"qid": "dsfull-881", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "74d63e04003ceda703a03bd6172eabdc80cf57279b98f988cd1110737a8918a2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the schools in the correct answer: Carlisle, England, and Lonoke. It also formats them as a comma-separated list, ignoring the semicolon formatting, which is acceptable since the prompt specified 'comma-separated list'.\",\n \"Correctness Details\": {\n \"Carlisle\": true,\n \"England\": true,\n \"Lonoke\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 892, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 117, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.415} {"qid": "dsfull-883", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "adabdad3e8e66539f559bad3dd19c7fc9ddc597a9bc077ea8ecdc3959320df86", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both Hawaii and New Hampshire, which are the two states that meet all the specified criteria. The response also presents the information in a clear table format before providing the final answer.\",\n \"Correctness Details\": {\n \"Hawaii\": true,\n \"New Hampshire\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1140, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 98, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.002} {"qid": "dsfull-882", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "23db412ab55089826fe1a0700bd84b7dd148392bbcdc0d3bcb200af1cb91b1c5", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly calculates and presents the gain or loss of research chairs for each specified university between 2008 and 2012, matching all the values in the correct answer.\",\n \"Correctness Details\": {\n \"University of British Columbia: +12\": true,\n \"University of Alberta: +1\": true,\n \"University of Saskatchewan: -5\": true,\n \"University of Manitoba: -7\": true,\n \"University of Toronto: -1\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1114, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 145, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 5, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.542} {"qid": "dsfull-884", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "263db1b1cd27ea109f8e9e2943b2005dbd7f53cb6db5548da91f86a7d405e2ff", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identified Colorado, Maryland, and Nevada, which are not part of the correct answer. It correctly identified Washington but missed Pennsylvania.\",\n \"Correctness Details\": {\n \"Pennsylvania\": false,\n \"Washington\": true\n },\n \"Excessive Answers\": [\n \"Colorado\",\n \"Maryland\",\n \"Nevada\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 971, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 105, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 3, "false_negatives": 1, "precision": 0.25, "recall": 0.5, "f1": 0.3333333333333333, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.279} {"qid": "dsfull-885", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "09beadded89c34a10f839bc9316e392c2b817253e2911b34b75bf8a142c20c44", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response provided 'September 18, 1963' as the birthday, which is incorrect. The correct birthday is 'August 6, 1973'.\",\n \"Correctness Details\": {\n \"August 6, 1973\": false\n },\n \"Excessive Answers\": [\n \"September 18, 1963\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 980, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 115, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.09} {"qid": "dsfull-886", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "b45ec35825237d22ee84ff564988fd536ca7bddd4798176dfcf6c264306d0a2e", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies 'Homicide in Toronto' and 'Homicide in Vancouver' as the offenses that decreased, matching the provided correct answer. No excessive answers were provided.\",\n \"Correctness Details\": {\n \"Homicide in Toronto\": true,\n \"Homicide in Vancouver\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1056, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 99, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.085} {"qid": "dsfull-887", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "f17dc0e155931bf42b647e0d8ff61ae1fb5aadbb7fb0f9ade0ff55333692edda", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response explicitly states that it is 'Unable to determine reliably from the retrieved data' because it could not retrieve Q1 and Q2 data for 2020. Therefore, it does not provide any of the correct answers.\",\n \"Correctness Details\": {\n \"ATY (Watertown Regional Airport)\": false,\n \"OTZ (Ralph Wien Memorial Airport)\": false,\n \"SCC (Deadhorse Airport)\": false\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 949, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 131, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 0, "false_negatives": 3, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.242} {"qid": "dsfull-888", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "2951181a8ae31238724d916d2e95ed43029d606953da6c00217688a2cc7f9677", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified 'Tennessee' as the answer. Although it states it could not fully verify the historical Statista rankings, it still arrived at the correct state.\",\n \"Correctness Details\": {\n \"Tennessee\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1147, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 84, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.133} {"qid": "dsfull-889", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "0f77fcf13c84951ba3e995d291b57208be4c3cc7d1c9cb64fe1f036664fded32", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies James A. Garfield, the nickname 'Little Trot' (or 'Trot'), and the book 'David Copperfield', matching all parts of the set answer. The explanation within the response clarifies the nickname variation and the source of the book information, but the final answer clearly states all required elements.\",\n \"Correctness Details\": {\n \"James A. Garfield\": true,\n \"Little Trot\": true,\n \"David Copperfield\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1017, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 135, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.09} {"qid": "dsfull-891", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "19eb0ff48414fafd22d53ff05ee074841ea0cccc6d3c1d5bcbe969b0758e49a8", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified both Grenada and Saint Lucia, which are the two founding members of the OECS that meet all the specified criteria. The response also provides supporting data in a table format.\",\n \"Correctness Details\": {\n \"Grenada\": true,\n \"Saint Lucia\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1173, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 99, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.158} {"qid": "dsfull-890", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9c8cc144a9741b0d0e4660353bf6339fc2f03084c9d4d384646f3e38ae37a072", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies Allentown-Bethlehem-Easton, Atlantic City-Hammonton, and Philadelphia-Camden-Wilmington. However, it lists 'Vineland\u2013Bridgeton, NJ' instead of 'Vineland, NJ MSA'. The prompt specifically asked for MSAs with an estimated debt-to-income ratio range extending to 1.35 or higher, and the AI's table for Philadelphia-Camden-Wilmington shows '1.25\u20131.35', which is not strictly '1.35 or higher' for the *entire range*, though it includes 1.35. The AI also includes 'Ocean City, NJ' as an excessive answer, which was not in the correct answer set and its inclusion was based on data outside the requested MSA data.\",\n \"Correctness Details\": {\n \"Allentown-Bethlehem-Easton, PA-NJ MSA\": true,\n \"Atlantic City-Hammonton, NJ MSA\": true,\n \"Philadelphia-Camden-Wilmington, PA-NJ-DE-MD MSA\": true,\n \"Vineland, NJ MSA\": false\n },\n \"Excessive Answers\": [\n \"Vineland\u2013Bridgeton, NJ\",\n \"Ocean City, NJ\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1243, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 299, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 2, "false_negatives": 1, "precision": 0.6, "recall": 0.75, "f1": 0.6666666666666665, "fully_correct": false, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.71} {"qid": "dsfull-892", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "3567b9939ab5cc0fe2689ab548ef1c55667655ed742d95b573ad6f2bf449b7a9", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies the bus route as '1 Spring Garden' and also specifies the destination 'Mumford Terminal', which aligns with the description of the terminal by Walmart and Sobeys. The correct answer specifies 'Route 1 (Spring Garden)', which is adequately covered by the AI's response.\",\n \"Correctness Details\": {\n \"Route 1 (Spring Garden)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 889, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 118, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 1, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.238} {"qid": "dsfull-894", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "9cbf4852e37f7e87ae015a3abd0fd2c07aec15c41d32730e284cddc26070df47", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response incorrectly identifies South Carolina as the state with the highest ratio, whereas the correct answer is North Carolina. The AI explicitly states it could not extract official data, indicating a failure to correctly process the information needed to answer the question.\",\n \"Correctness Details\": {\n \"North Carolina\": false\n },\n \"Excessive Answers\": [\n \"South Carolina\"\n ]\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 889, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 108, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 0, "false_positives": 1, "false_negatives": 1, "precision": 0.0, "recall": 0.0, "f1": 0.0, "fully_correct": false, "fully_incorrect": true, "correct_with_excessive": false, "wall_s": 1.384} {"qid": "dsfull-895", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "fea08bd3f09415bd75ad221dddab7e0645bb38c7b0f0dee7bc51e4d0d5847879", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three countries listed in the correct answer: Comoros, Mozambique, and Suriname. There are no excessive answers.\",\n \"Correctness Details\": {\n \"Suriname\": true,\n \"Comoros\": true,\n \"Mozambique\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1070, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 95, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 0.966} {"qid": "dsfull-896", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "a9d615a6347711201e857188b46edf275f1e0b3f229cc500f0391011e360b494", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identified all the states that meet the criteria specified in the prompt: Mississippi, Michigan, and D.C. It also provides a clear table with the relevant data and quartile classifications for each, supporting its answer.\",\n \"Correctness Details\": {\n \"Mississippi\": true,\n \"Michigan\": true,\n \"D.C.\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1346, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 113, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.174} {"qid": "dsfull-897", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "4fc351bf295501f11e56d57e82b1080ef3425d8c97a71105b3144eb9bccf3be2", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies both Roll Call 695 (118th Congress) and Roll Call 696 (118th Congress) as per the correct answer. The additional details provided in the table and text are supportive and do not introduce excessive incorrect answers.\",\n \"Correctness Details\": {\n \"Roll Call 695 (118th Congress)\": true,\n \"Roll Call 696 (118th Congress)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1420, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 139, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 2, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.234} {"qid": "dsfull-898", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "70762c0cd7a4ce2c7382706b8da6748609143970f76e039350644a1a4e4dc479", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all three waterfalls listed in the correct answer: Kerepakupai Mer\u00fa, Catarata Gocta, and Salto Yutaj\u00e9. It also provides additional useful information like country, height, and width, which aligns with the prompt's criteria.\",\n \"Correctness Details\": {\n \"Kerepakupai Mer\u00fa\": true,\n \"Cataracta Gocta\": true,\n \"Salto Yutaj\u00e9\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1086, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 138, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 3, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.144} {"qid": "dsfull-899", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "e910a045c79c24defa22beb4703341c2552923a55078d39091ab0492e010a974", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly identifies all the botanists listed in the correct answer and presents them in the specified order. It also correctly notes that Robert Morison was not a Sherardian Professor.\",\n \"Correctness Details\": {\n \"Robert Morison\": true,\n \"Jacob Bobart the Younger\": true,\n \"William Sherard\": true,\n \"George Claridge Druce\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1081, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 121, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 4, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 1.24} {"qid": "dsfull-893", "source_tag": "astra-scry-frozen-full2-20260905", "source_status": "answered", "request_sha256": "c1176cc18ee4f0039e5124cbec82bd1883571c8f08186570aba04bb78056d5c0", "status": "graded", "raw_judge": {"content": "```json\n{\n \"Answer Correctness\": {\n \"Explanation\": \"The AI response correctly lists all chapters, appendices, and personal stories that appear after 'Working with Others' in the fourth edition of Alcoholics Anonymous, in the correct order. The response matches the provided correct answer exactly, except for a minor capitalization difference in 'Alcoholics Anonymous Number Three' and 'ME an Alcoholic?' which are considered acceptable variations.\",\n \"Correctness Details\": {\n \"To Wives\": true,\n \"The Family Afterward\": true,\n \"To Employers\": true,\n \"A Vision For You\": true,\n \"Doctor Bob\u2019s Nightmare\": true,\n \"Alcoholics Anonymous Number Three\": true,\n \"Gratitude in Action\": true,\n \"Women Suffer Too\": true,\n \"Our Southern Friend\": true,\n \"The Vicious Cycle\": true,\n \"Jim\u2019s Story\": true,\n \"The Man Who Mastered Fear\": true,\n \"He Sold Himself Short\": true,\n \"The Keys of the Kingdom\": true,\n \"The Missing Link\": true,\n \"Fear of Fear\": true,\n \"The Housewife Who Drank at Home\": true,\n \"Physician, Heal Thyself!\": true,\n \"My Chance to Live\": true,\n \"Student of Life\": true,\n \"Crossing the River of Denial\": true,\n \"Because I\u2019m an Alcoholic\": true,\n \"It Might Have Been Worse\": true,\n \"Tightrope\": true,\n \"Flooded With Feeling\": true,\n \"Winner Takes All\": true,\n \"Me an Alcoholic?\": true,\n \"The Perpetual Quest\": true,\n \"A Drunk, Like You\": true,\n \"Acceptance Was the Answer\": true,\n \"Window of Opportunity\": true,\n \"My Bottle, My Resentments, and Me\": true,\n \"He Lived Only to Drink\": true,\n \"Safe Haven\": true,\n \"Listening to the Wind\": true,\n \"Twice Gifted\": true,\n \"Building a New Life\": true,\n \"On the Move\": true,\n \"A Vision of Recovery\": true,\n \"Gutter Bravado\": true,\n \"Empty on the Inside\": true,\n \"Grounded\": true,\n \"Another Chance\": true,\n \"A Late Start\": true,\n \"Freedom From Bondage\": true,\n \"A.A. Taught Him to Handle Sobriety\": true,\n \"The A.A. Tradition\": true,\n \"Spiritual Experience\": true,\n \"The Medical View on A.A.\": true,\n \"The Lasker Award\": true,\n \"The Religious View on A.A.\": true,\n \"How to Get in Touch With A.A.\": true,\n \"Twelve Concepts (Short Form)\": true\n },\n \"Excessive Answers\": []\n }\n}\n```", "enforced": [], "finish_reason": "stop", "funding": "wallet", "model": "google/gemini-2.5-flash", "preset": null, "served_model": "google/gemini-2.5-flash", "usage": {"input_tokens": 1519, "note": "output_tokens mirrors the provider's completion_tokens and can include reasoning tokens beyond max_tokens (max_tokens caps the visible completion); wallet settlement follows the provider's dollar meter, bounded by the account wallet.", "output_tokens": 675, "reasoning_tokens": 0}, "zdr": false}, "true_positives": 53, "false_positives": 0, "false_negatives": 0, "precision": 1.0, "recall": 1.0, "f1": 1.0, "fully_correct": true, "fully_incorrect": false, "correct_with_excessive": false, "wall_s": 4.035}