{"id":"W4390414981","doi":"10.1016/j.jcjd.2023.12.009","title":"Risk Prediction Scores for Type 2 Diabetes Microvascular and Cardiovascular Complications Derived and Validated With Real-world Data From 2 Provinces: The DIabeteS COmplications (DISCO) Risk Scores","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Health; Women's College Hospital; Health Sciences Centre; University Health Network; University of Toronto; University of Manitoba; Institute for Work & Health; Institute for Clinical Evaluative Sciences; Toronto Rehabilitation Institute; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Type 2 diabetes; Diabetes mellitus; Medical record; Myocardial infarction; Stroke (engine); Framingham Risk Score; Risk assessment; Disease; Amputation; Emergency medicine; Internal medicine; Intensive care medicine; Surgery","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":[0.01007333,0.0009167123,0.000612915,0.00335324,0.0008276003,0.001844198,0.001150046,0.000440352,0.0007216312],"category_scores_gemma":[0.03806384,0.0003165175,0.001175307,0.004133915,0.0005364873,0.0004332621,0.001560556,0.0010185,0.0002288708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005549622,"about_ca_system_score_gemma":0.009757888,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4793283,"about_ca_topic_score_gemma":0.5013205,"domain_scores_codex":[0.992835,0.002011262,0.0007775705,0.0009256326,0.003003173,0.0004473105],"domain_scores_gemma":[0.9786279,0.003772327,0.006105074,0.001691503,0.009002202,0.0008010669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007603227,0.00002974279,0.9908085,0.00004080779,0.0002176024,0.00001746374,0.0001243769,0.001004439,0.00006938574,0.0001495494,0.0009102424,0.006551852],"study_design_scores_gemma":[0.00004787193,0.00005562103,0.9919457,0.00007395877,0.0001087253,0.00006132117,0.0002357377,0.005444248,0.0002588132,0.0002137157,0.001530143,0.00002409853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652027,0.0006009112,0.01082437,0.0005314116,0.00007365317,0.0004891187,0.01630093,0.0001498035,0.005827046],"genre_scores_gemma":[0.982726,0.0001537129,0.008703579,0.00008273771,0.00001572423,0.0002136879,0.007679271,0.00001540785,0.0004098731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5206717,"threshold_uncertainty_score":0.9530765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03928561423219327,"score_gpt":0.2600005511990192,"score_spread":0.2207149369668259,"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."}}