{"id":"W4403227767","doi":"10.1016/j.cjca.2024.08.025","title":"EVALUATION OF FEMALE-SPECIFIC RISK FACTORS AND THEIR ASSOCIATION WITH MYOCARDIAL INFARCTION OCCURRENCE IN WOMEN FROM THE QUEBEC CARTAGENE ADMINISTRATIVE DATABASE","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Myocardial infarction; Association (psychology); Database; Demography; Internal medicine","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":[0.00076954,0.0003590952,0.0006763029,0.00234225,0.001066081,0.001143165,0.0009620916,0.0005088195,0.003479947],"category_scores_gemma":[0.004995663,0.0002909859,0.0008988403,0.006148118,0.0002453419,0.0004550696,0.0006147399,0.0007618277,0.0003111624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00691582,"about_ca_system_score_gemma":0.007884204,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.947369,"about_ca_topic_score_gemma":0.9590466,"domain_scores_codex":[0.9990898,0.000148906,0.0001123281,0.0001714364,0.0002320732,0.0002453953],"domain_scores_gemma":[0.9964619,0.0005315925,0.0009940751,0.0001999954,0.001388314,0.0004240709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000763127,0.0000115325,0.9966952,0.00001947261,0.0001032694,0.00003860291,0.00006594672,0.00005568906,0.00003327658,0.00004121597,0.001642238,0.001217181],"study_design_scores_gemma":[0.000009659299,0.000009529173,0.9984152,0.00002320927,0.00004910382,0.00003710402,0.0001788955,0.0004060484,0.00001887761,0.00001136072,0.0008353179,0.000005672931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9313487,0.001554582,0.0002564526,0.000750293,0.00003349183,0.00007790723,0.06272891,0.00003829646,0.003211312],"genre_scores_gemma":[0.9857152,0.0005532992,0.000256322,0.0001930884,0.00002119702,0.00007395814,0.0120967,0.00001178183,0.001078442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05263096,"threshold_uncertainty_score":0.1058818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09191701182149037,"score_gpt":0.3250023154734133,"score_spread":0.2330853036519229,"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."}}