{"id":"W4403203701","doi":"10.1016/j.cjca.2024.08.210","title":"IMPACT OF TRADITIONAL CARDIOVASCULAR RISK FACTORS IN WOMEN WITH OR WITHOUT A HISTORY OF MYOCARDIAL INFARCTION: AN EPIDEMIOLOGICAL ANALYSIS FROM THE QUEBEC CARTAGENE ADMINISTRATIVE DATABASE","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Epidemiology; Myocardial infarction; Internal medicine; Emergency medicine; Cardiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001514962,0.0006704748,0.001157775,0.002563165,0.001633058,0.002168556,0.002105721,0.001194686,0.004036137],"category_scores_gemma":[0.007655746,0.0006350817,0.001977216,0.008954333,0.0005653271,0.0009714275,0.001318939,0.001757164,0.0003963431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01486275,"about_ca_system_score_gemma":0.0136248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9785362,"about_ca_topic_score_gemma":0.9821669,"domain_scores_codex":[0.9976946,0.0005178238,0.0002442696,0.0004369806,0.0005697274,0.0005366534],"domain_scores_gemma":[0.9935788,0.001068566,0.001751088,0.0004259637,0.002239975,0.0009355922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001924829,0.00004348889,0.9961279,0.00003720611,0.0003752271,0.00005130678,0.00009636587,0.00009734599,0.00003510235,0.00005860581,0.001704829,0.001180089],"study_design_scores_gemma":[0.00002306143,0.00001711508,0.9984764,0.00003694377,0.0001416829,0.00002942654,0.0002495635,0.0004393302,0.00001017478,0.00001359084,0.0005513873,0.00001123394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9291822,0.004014644,0.0002423663,0.001361048,0.00007555558,0.0001029967,0.06174428,0.00003470332,0.003242195],"genre_scores_gemma":[0.9831446,0.001306697,0.000239327,0.0003987043,0.00003689697,0.00007005248,0.01338895,0.00001594034,0.001398753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02146381,"threshold_uncertainty_score":0.1078373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06824384958914857,"score_gpt":0.3104463724002548,"score_spread":0.2422025228111062,"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."}}