{"id":"W4240716333","doi":"10.1503/cmaj.091543","title":"Query","year":2004,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Ophthalmology and Visual Health Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001714411,0.0000573192,0.0001486959,0.0001767374,0.0002464261,0.00001917493,0.0000806763,0.0004082212,0.006010567],"category_scores_gemma":[0.002109528,0.00004907986,0.00006300702,0.0001851221,0.00003533512,0.00005408766,0.000006307364,0.001387754,0.0008754808],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625997,"about_ca_system_score_gemma":0.01118866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003128609,"about_ca_topic_score_gemma":0.005373342,"domain_scores_codex":[0.9980918,0.00008164512,0.0002394213,0.00008661456,0.001004992,0.0004955758],"domain_scores_gemma":[0.9966317,0.0000793068,0.0000584001,0.00006118413,0.0003052725,0.002864112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001079683,0.000263978,0.760388,0.00007965758,0.0002344631,0.01891534,0.000502696,0.000004322159,0.00003195065,0.005330378,0.1412411,0.07290011],"study_design_scores_gemma":[0.00411391,0.0005999457,0.5169479,0.0002287188,0.00002526697,0.01623814,0.0003032771,0.00002895169,0.00005432348,0.002129154,0.4591841,0.0001463209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7994171,0.000277209,0.00004066838,0.1803853,0.0007506809,0.0001095844,0.000004076688,0.00001563178,0.01899974],"genre_scores_gemma":[0.9744634,0.0001185213,0.0001288195,0.02189988,0.001735092,0.00000289678,0.000004609587,0.000009136073,0.001637647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3179429,"threshold_uncertainty_score":0.9999024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05328602709510769,"score_gpt":0.4381584138850338,"score_spread":0.3848723867899262,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}