{"id":"W2023059534","doi":"10.4021/cr103e","title":"The Role of Unknown Risk Factors in Myocardial Infarction","year":2010,"lang":"en","type":"article","venue":"Cardiology Research","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Myocardial infarction; Hyperlipidemia; Internal medicine; Risk factor; Cardiology; Diabetes mellitus; Family history; Population; Endocrinology","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":[],"consensus_categories":[],"category_scores_codex":[0.004123047,0.0000769348,0.0004038611,0.0002066741,0.0002280472,0.000004696252,0.00009890147,0.0002263285,0.000009085473],"category_scores_gemma":[0.001225041,0.0000504502,0.0001448454,0.000353078,0.0004763467,0.00002387563,0.0000724398,0.001718433,0.00002625437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001096428,"about_ca_system_score_gemma":0.0005606047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598888,"about_ca_topic_score_gemma":0.0002524839,"domain_scores_codex":[0.9978913,0.0006865208,0.0002722692,0.0002052835,0.0003427186,0.0006018841],"domain_scores_gemma":[0.9982196,0.0009171815,0.00004169627,0.0004091316,0.0001580651,0.000254287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003230695,0.00001792145,0.9666268,0.00002031719,0.00002769902,0.000005300537,0.0002026222,0.000001972139,0.006765394,0.000481869,0.0004579974,0.02506908],"study_design_scores_gemma":[0.0005887576,0.0003008815,0.8321518,0.000008726924,0.00001123091,0.00005122354,0.0008717384,0.00002021131,0.001599577,0.0005226095,0.1638354,0.0000378047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730275,0.0005652523,0.000001387358,0.0004285769,0.0007111414,0.0005941688,0.00001132542,0.00001250786,0.02464811],"genre_scores_gemma":[0.9979689,0.001277849,0.00001385897,0.00002910063,0.0005110862,0.00005541131,0.00001548652,0.00001096542,0.0001173598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1633774,"threshold_uncertainty_score":0.7465832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03633494652753461,"score_gpt":0.4136515737051275,"score_spread":0.3773166271775928,"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."}}