{"id":"W7116718096","doi":"10.33137/jns.v4i1.43527","title":"Diabetes Mellitus in Canada: An Epidemiologic Analysis on Data from the Canadian Chronic Disease Surveillance System, 2016-2017","year":2025,"lang":"","type":"article","venue":"UTSC s Journal of Natural Sciences","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Diabetes mellitus; Incidence (geometry); Epidemiology; Disease; Population; Public health; Mortality rate; Cumulative incidence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001610746,0.0005812565,0.000786978,0.005542201,0.002403622,0.001379871,0.001339459,0.0003176593,0.001354066],"category_scores_gemma":[0.004615746,0.000419297,0.001342833,0.01743862,0.0004381326,0.0004450928,0.001027193,0.0008380405,0.0002399878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04796111,"about_ca_system_score_gemma":0.08954255,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997717,"about_ca_topic_score_gemma":0.99809,"domain_scores_codex":[0.9974005,0.0001490443,0.0002570167,0.000237616,0.001572931,0.0003829053],"domain_scores_gemma":[0.9943018,0.0001629401,0.0007020812,0.0001070431,0.004187789,0.0005384253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001010495,0.00002412843,0.9695943,0.0004186147,0.0003000297,0.00005899524,0.0002999702,0.0003120985,0.00007647165,0.0002628145,0.01882543,0.009726077],"study_design_scores_gemma":[0.00001584453,0.00001131747,0.9919153,0.0001714912,0.0001277851,0.00005663686,0.0004838523,0.0006027782,0.00005342496,0.00004152515,0.006503979,0.00001610009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5085042,0.01433025,0.001270741,0.002983469,0.0001688854,0.0005878362,0.4610957,0.0001865238,0.01087249],"genre_scores_gemma":[0.8406137,0.01095242,0.003260126,0.0009083493,0.00007663975,0.0003771204,0.141017,0.0000454732,0.002749147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04796111,"threshold_uncertainty_score":0.3479838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03612191065673521,"score_gpt":0.3000840803827219,"score_spread":0.2639621697259867,"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."}}