{"id":"W2233567481","doi":"10.1016/j.cjca.2015.07.556","title":"ASSOCIATION BETWEEN PRIMARY PREVENTION INDICATORS AND REGIONAL VARIATIONS IN THE INCIDENCE OF MAJOR CARDIOVASCULAR EVENTS: THE CANHEART STUDY","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Incidence (geometry); Population; Demography; Myocardial infarction; Cohort; Disease; Stroke (engine); Gerontology; Emergency medicine; Environmental health; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002795744,0.0005307487,0.0009346059,0.001215569,0.0007767888,0.001666732,0.00123429,0.001563351,0.001381532],"category_scores_gemma":[0.006166849,0.0008315389,0.00183347,0.003562917,0.0006676386,0.0008426383,0.001355717,0.002199735,0.0002545556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008894111,"about_ca_system_score_gemma":0.001228934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09694969,"about_ca_topic_score_gemma":0.1166187,"domain_scores_codex":[0.9975119,0.0007804443,0.0002329819,0.0007236805,0.0003206007,0.0004304701],"domain_scores_gemma":[0.9925163,0.00128311,0.002360523,0.001758433,0.001046093,0.001035526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00028453,0.0000369021,0.9978784,0.00001176685,0.0006051685,0.00003786605,0.0000762967,0.00008107998,0.00008782611,0.00004329291,0.0004572377,0.0003995424],"study_design_scores_gemma":[0.00002018454,0.00002616247,0.999347,0.000004251967,0.0001685291,0.0000375918,0.0001124981,0.0001067707,0.0000166932,0.0000201348,0.0001330626,0.000007188898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937236,0.001069271,0.0001881055,0.0002695687,0.00004050256,0.00001510461,0.00344954,0.00001452797,0.001229729],"genre_scores_gemma":[0.9979191,0.0002135233,0.0001018729,0.00007321157,0.00004182181,0.00001603587,0.00143584,0.00001004715,0.000188399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09694969,"threshold_uncertainty_score":0.1927708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06652339081012187,"score_gpt":0.3694697827042261,"score_spread":0.3029463918941043,"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."}}