{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007259463,0.0003228838,0.0003180478,0.000846853,0.000378023,0.0007282308,0.0004795623,0.0006010936,0.003351275],"category_scores_gemma":[0.003219389,0.0001671813,0.0003884068,0.0008082754,0.0004028286,0.0004569105,0.0003235016,0.0008119306,0.000338517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001981835,"about_ca_system_score_gemma":0.0003644153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00090602,"about_ca_topic_score_gemma":0.000950898,"domain_scores_codex":[0.9995682,0.0001388242,0.00004423145,0.00005824315,0.0001032307,0.00008734948],"domain_scores_gemma":[0.9980698,0.0005964644,0.0007804989,0.00008928993,0.0001707715,0.0002932124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001590864,0.00005935216,0.9925599,0.00005692555,0.00006142243,0.0007186918,0.00005741165,0.0000327249,0.00008318986,0.0001006158,0.0001830378,0.005927608],"study_design_scores_gemma":[0.00001410123,0.0001513665,0.9935353,0.00009027185,0.0001396472,0.003954818,0.0001992133,0.0002407399,0.0001145238,0.000432897,0.00111951,0.000007657492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9606771,0.03145953,0.0004644447,0.001198816,0.0001419848,0.00002474508,0.0002880963,0.00001129855,0.00573382],"genre_scores_gemma":[0.9929872,0.005754295,0.0002615489,0.00009286602,0.0004111854,0.000007748033,0.0001398318,0.000002935215,0.000342299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003351275,"threshold_uncertainty_score":0.0112111,"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."}}