{"id":"W2403414631","doi":"","title":"Regional variations in cardiovascular mortality in Canada.","year":2003,"lang":"en","type":"article","venue":"PubMed","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Mortality rate; Demography; Disease; Population; Census; Unemployment; Environmental health; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007728603,0.0003112075,0.0003545098,0.002156794,0.001684075,0.0009269702,0.0007854953,0.0002717488,0.002689076],"category_scores_gemma":[0.002301111,0.0002334795,0.0007333418,0.00525147,0.0004603895,0.0002314795,0.0008944546,0.000540618,0.0002248113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01875162,"about_ca_system_score_gemma":0.0281576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994437,"about_ca_topic_score_gemma":0.9961008,"domain_scores_codex":[0.999101,0.00006837973,0.00006467854,0.000225819,0.0002859303,0.0002541124],"domain_scores_gemma":[0.9980635,0.0001134786,0.0003462881,0.00006555991,0.001116978,0.0002941957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001225891,0.00001709439,0.9686156,0.0002130041,0.0002509749,0.0001540195,0.0006884464,0.0009117232,0.0002541807,0.0005471683,0.006194644,0.02203061],"study_design_scores_gemma":[0.000004454679,0.000006788002,0.9969041,0.00004428495,0.00006592049,0.00006559088,0.0003348065,0.0003513771,0.00004395952,0.00008681346,0.00208013,0.00001172584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8876803,0.02225097,0.001479559,0.003428749,0.0001192082,0.0001657102,0.06982092,0.0001943828,0.01486017],"genre_scores_gemma":[0.9890105,0.00219033,0.0008301218,0.0001602398,0.00001727816,0.00002871774,0.006093744,0.00001984683,0.001649228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01875162,"threshold_uncertainty_score":0.1360531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05630699854663319,"score_gpt":0.280731777925278,"score_spread":0.2244247793786449,"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."}}