{"id":"W2340648226","doi":"10.1161/circoutcomes.9.suppl_2.254","title":"Abstract 254: The Canadian GENESIS Gender Index may be the Key to Understanding Differences in Health Status Outcomes in Acute Coronary Syndrome.","year":2016,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; University of Calgary; University of Alberta","funders":"","keywords":"Medicine; Demography; Logistic regression; Acute coronary syndrome; Index (typography); Cohort; Gerontology; Internal medicine; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003191018,0.0002582806,0.00085333,0.0003113549,0.0004110275,0.00005850986,0.0001552743,0.000172435,0.00004083693],"category_scores_gemma":[0.0002437701,0.0001348877,0.0003735584,0.0003700086,0.0001362658,0.000118883,0.00004724962,0.000262449,0.000006508821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242663,"about_ca_system_score_gemma":0.0006098259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.158723,"about_ca_topic_score_gemma":0.1544272,"domain_scores_codex":[0.9966842,0.0006653162,0.0007173784,0.0005122818,0.0007629545,0.0006578625],"domain_scores_gemma":[0.9979945,0.0006613925,0.0001027043,0.0007908391,0.00005110271,0.0003995025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002224101,0.00001815532,0.9881309,0.000128353,0.0007247876,0.00004675627,0.003487577,0.00009718131,0.000001780054,0.001322104,0.00001589048,0.006004333],"study_design_scores_gemma":[0.001226159,0.00002255331,0.9919595,0.0000713167,0.00006416678,0.00005102147,0.004657683,0.00001837695,8.889193e-7,0.001121091,0.0006152902,0.0001919501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393335,0.002760691,0.000682289,0.05566274,0.0002624755,0.001109682,0.00006399311,0.00002964115,0.00009500814],"genre_scores_gemma":[0.9939533,0.0004668197,0.00003107838,0.005378638,0.00002450039,0.00005785971,0.00001744014,0.00002222982,0.00004808223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05461987,"threshold_uncertainty_score":0.8610023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2338521640106756,"score_gpt":0.3716693128649753,"score_spread":0.1378171488542997,"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."}}