{"id":"W2103197621","doi":"","title":"Geographical variations in post myocardial infarction mortality and their impact on risk selection.","year":2004,"lang":"en","type":"article","venue":"PubMed","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Mortality rate; Demography; Myocardial infarction; Medicine; Coefficient of variation; Standard deviation; Cohort; Internal medicine; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01610389,0.0002821002,0.0004278524,0.001444438,0.0001744967,0.0007134777,0.0004759103,0.0005067564,0.001259015],"category_scores_gemma":[0.05200535,0.0001398165,0.00113812,0.001903227,0.0007223808,0.0007826153,0.0009542238,0.000418811,0.0001308056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006262031,"about_ca_system_score_gemma":0.0004748574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001290055,"about_ca_topic_score_gemma":0.001247178,"domain_scores_codex":[0.9778687,0.01821166,0.001073006,0.0007189518,0.001876292,0.0002513124],"domain_scores_gemma":[0.9433429,0.03640769,0.01561775,0.002783977,0.001336865,0.0005107727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001089868,0.00006290506,0.9407664,0.0003832029,0.002051822,0.0002192422,0.0002367022,0.003305841,0.0001986696,0.00129668,0.0004122366,0.04997643],"study_design_scores_gemma":[0.0000355636,0.0003461676,0.9942189,0.00007045247,0.0005178186,0.0003177291,0.0001898617,0.002175417,0.0002199995,0.001221113,0.0006711444,0.00001582107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966454,0.01990817,0.007499272,0.001730664,0.00006210691,0.0001284146,0.0009416369,0.00003227873,0.003243537],"genre_scores_gemma":[0.9980118,0.0008792097,0.0007242615,0.00006745959,0.00003045192,0.00002657196,0.0001880216,0.000004192183,0.00006797739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01610389,"threshold_uncertainty_score":0.08516657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1634343886428316,"score_gpt":0.3629994135727143,"score_spread":0.1995650249298826,"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."}}