{"id":"W2109098894","doi":"10.9778/cmajo.2012-0015","title":"Projections of preventable risks for cardiovascular disease in Canada to 2021: a microsimulation modelling approach","year":2014,"lang":"en","type":"article","venue":"CMAJ Open","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Bruyère; McGill University Health Centre; McGill University; Statistics Canada; Institute for Clinical Evaluative Sciences; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Microsimulation; Medicine; Obesity; Population; Environmental health; Disease; Incidence (geometry); Risk factor; Risk assessment; Diabetes mellitus; Demography; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002561679,0.00007804376,0.0002584456,0.000155041,0.0001033563,0.0001176145,0.0004526621,0.00002369447,0.00001442969],"category_scores_gemma":[0.0003711375,0.00006725449,0.0001365475,0.0006083861,0.00000973587,0.0002180165,0.00009162237,0.00004365998,0.000003753282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007515882,"about_ca_system_score_gemma":0.0004098041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.853854,"about_ca_topic_score_gemma":0.315134,"domain_scores_codex":[0.9983721,0.0001375246,0.0004329827,0.0003888064,0.0005056737,0.0001629508],"domain_scores_gemma":[0.9988676,0.0002122443,0.00009773731,0.0005097386,0.0002159485,0.00009669107],"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":[0.00004668926,0.00002729869,0.01052883,0.00001091819,0.00001738455,8.411623e-8,0.0001782315,0.978861,0.00001306267,0.0002359156,0.0001954941,0.009885106],"study_design_scores_gemma":[0.000371948,0.00001549272,0.00310618,0.0000200583,0.00003734826,1.106484e-7,0.000436977,0.9873852,0.00002615919,0.005332967,0.003178097,0.00008942536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.288528,0.00007846148,0.7093594,0.00005500918,0.00008417266,0.001050976,0.00002853799,0.000002880844,0.0008125964],"genre_scores_gemma":[0.9805505,0.000005080415,0.01886696,0.00003434169,0.00002189357,0.0002192636,0.00002166825,0.000008309617,0.0002720182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6920225,"threshold_uncertainty_score":0.697363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2412080810486185,"score_gpt":0.3852695456463342,"score_spread":0.1440614645977157,"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."}}