{"id":"W2765545378","doi":"10.24095/hpcdp.37.2.03","title":"The cost of diabetes in Canada over 10 years: applying attributable health care costs to a diabetes incidence prediction model","year":2017,"lang":"en","type":"article","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Public Health Ontario; University of Toronto","funders":"Institute of Nutrition, Metabolism and Diabetes; Canadian Institutes of Health Research","keywords":"Diabetes mellitus; Incidence (geometry); Medicine; Attributable risk; Environmental health; Health care; Health care cost; Gerontology; Economics; Economic growth; Endocrinology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001559998,0.001004914,0.0008465815,0.002643435,0.0008875812,0.002063631,0.002195699,0.0009011707,0.002688986],"category_scores_gemma":[0.005848995,0.000527787,0.001054102,0.002792569,0.0004946172,0.0006174495,0.0008696918,0.001332919,0.00020155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0190462,"about_ca_system_score_gemma":0.01838705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9079108,"about_ca_topic_score_gemma":0.7900586,"domain_scores_codex":[0.9993081,0.0001657934,0.00004716737,0.0001364135,0.0001458553,0.0001967004],"domain_scores_gemma":[0.9974776,0.001057732,0.0003861579,0.00006300268,0.0007812541,0.0002342158],"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":[0.0002930031,0.0002117274,0.1484827,0.0001071495,0.0003427876,0.0002531142,0.00006655612,0.8172666,0.00007673628,0.004126721,0.006389621,0.02238328],"study_design_scores_gemma":[0.00003801229,0.00003350781,0.01706334,0.00003629878,0.00008360053,0.00005064356,0.00005596111,0.9803422,0.00002707879,0.001497891,0.0007545645,0.00001686816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9168486,0.002788455,0.0438818,0.005033053,0.0002156782,0.0005711638,0.0195375,0.0004561364,0.01066775],"genre_scores_gemma":[0.9804752,0.001052652,0.01085056,0.0001739556,0.00007582581,0.0001734034,0.004896565,0.00003170155,0.002270102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09208924,"threshold_uncertainty_score":0.1852631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041424323092442,"score_gpt":0.2995202361748135,"score_spread":0.2791059929438892,"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."}}