{"id":"W1420517538","doi":"10.24095/hpcdp.32.1.04","title":"Validating the CANRISK prognostic model for assessing diabetes risk in Canada’s multi-ethnic population","year":2011,"lang":"en","type":"article","venue":"Chronic diseases and injuries in Canada","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Alexandra Hospital; McMaster University; Public Health Agency of Canada","funders":"Public Health Agency","keywords":"Prediabetes; Medicine; Receiver operating characteristic; Waist; Logistic regression; Diabetes mellitus; Population; Glycemic; Risk assessment; Internal medicine; Framingham Risk Score; Ethnic group; Demography; Obesity; Type 2 diabetes; Environmental health; Endocrinology; Computer science","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":[0.008170243,0.0009581494,0.0006814256,0.001801408,0.001116158,0.001866501,0.001373935,0.0005711042,0.001774612],"category_scores_gemma":[0.02822734,0.0002206196,0.0009745864,0.001948411,0.0005019241,0.0004998826,0.0009709903,0.0007993144,0.0004832275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007828168,"about_ca_system_score_gemma":0.01580417,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7198669,"about_ca_topic_score_gemma":0.6877294,"domain_scores_codex":[0.9969158,0.0009127924,0.0001846633,0.0004156771,0.001245798,0.0003252187],"domain_scores_gemma":[0.9886296,0.003288156,0.001300185,0.0007279869,0.005480312,0.0005738484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002514457,0.00007439884,0.9651738,0.00006760874,0.000264403,0.00003387946,0.00009453525,0.006658596,0.0001068038,0.0003428105,0.003468725,0.02346292],"study_design_scores_gemma":[0.0001556374,0.000316358,0.8040997,0.0002919871,0.0006586454,0.0002389142,0.0005040937,0.1861043,0.0007829212,0.00156424,0.005206484,0.00007663301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9436147,0.001468924,0.02665129,0.002394212,0.0001361783,0.0006419712,0.01453734,0.0006688036,0.009886619],"genre_scores_gemma":[0.9779846,0.0003001352,0.01659364,0.0002224169,0.00002476033,0.0001447616,0.00415049,0.00002379972,0.0005553884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2801331,"threshold_uncertainty_score":0.5635657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02824898745648456,"score_gpt":0.2599234084034951,"score_spread":0.2316744209470105,"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."}}