{"id":"W2781574659","doi":"10.1371/journal.pone.0190538","title":"The economic benefits of reducing cardiovascular disease mortality in Quebec, Canada","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; HEC Montréal","funders":"","keywords":"Life expectancy; Population; Health care; Population ageing; Population health; Pace; Medicine; Demography; Mortality rate; Environmental health; Gerontology; Geography; Economic growth; Economics","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":[0.0006615814,0.0004055086,0.0002621019,0.0005366193,0.001145083,0.001657457,0.001004125,0.0006467624,0.004947362],"category_scores_gemma":[0.002543275,0.0001475655,0.0004673552,0.0008288397,0.0004976271,0.0005130906,0.0006121247,0.0005540015,0.000210216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05086893,"about_ca_system_score_gemma":0.04352145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941303,"about_ca_topic_score_gemma":0.993374,"domain_scores_codex":[0.999584,0.00009634288,0.00001038148,0.00004891022,0.0000799558,0.0001804528],"domain_scores_gemma":[0.9992093,0.0001573863,0.0000814368,0.00002127228,0.0003714362,0.00015914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006200607,0.0002057995,0.1639234,0.00034468,0.0004957269,0.0004804155,0.0002743244,0.693458,0.0009967558,0.03769794,0.05295423,0.0485486],"study_design_scores_gemma":[0.0002729427,0.0002199898,0.1981602,0.0003774284,0.0003194621,0.00009712863,0.001082484,0.7566082,0.0007018617,0.007820009,0.03421801,0.0001223145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8502456,0.007096157,0.008779512,0.02754788,0.0002393551,0.0002102043,0.03481852,0.0002941781,0.07076856],"genre_scores_gemma":[0.9899573,0.001143199,0.001319511,0.0005309443,0.00001684921,0.00002702585,0.001871458,0.00001338548,0.005120303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05086893,"threshold_uncertainty_score":0.3690816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05395494953814909,"score_gpt":0.2754209571771947,"score_spread":0.2214660076390456,"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."}}