{"id":"W3036804145","doi":"10.1136/bmjdrc-2020-001224","title":"Validation of a type 1 diabetes algorithm using electronic medical records and administrative healthcare data to study the population incidence and prevalence of type 1 diabetes in Ontario, Canada","year":2020,"lang":"en","type":"article","venue":"BMJ Open Diabetes Research & Care","topic":"Diabetes Management and Research","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; LMC Diabetes & Endocrinology (Canada); Women's College Hospital; Toronto Western Hospital; University of Toronto; University Health Network; North York General Hospital; Institute for Clinical Evaluative Sciences","funders":"Breakthrough T1D Canada; Diabetes Action Canada; University of Toronto; Ontario Ministry of Health and Long-Term Care; Diabetes Canada; Heart and Stroke Foundation of Canada; Diabetes Action Research and Education Foundation; Ontario SPOR SUPPORT Unit","keywords":"Medicine; Type 2 diabetes; Medical record; Algorithm; Incidence (geometry); Population; Diabetes mellitus; Diagnosis code; Type 1 diabetes; Electronic medical record; Demography; Pediatrics; Family medicine; Internal medicine; Mathematics; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.009987677,0.0006234498,0.0005599415,0.001715243,0.001089956,0.001936937,0.001423932,0.0004923011,0.0008299802],"category_scores_gemma":[0.0289585,0.0002809975,0.0006888601,0.002063206,0.0004599824,0.0005056766,0.0006053593,0.000453842,0.0002938961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01206316,"about_ca_system_score_gemma":0.02181892,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8583981,"about_ca_topic_score_gemma":0.8476728,"domain_scores_codex":[0.996154,0.0009988137,0.0005342959,0.0007415944,0.001260838,0.0003103763],"domain_scores_gemma":[0.9824182,0.004280861,0.001948767,0.0006948024,0.01013971,0.0005176826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003580373,0.0001214329,0.9651539,0.00009664966,0.0001819552,0.00003273514,0.000154364,0.005317283,0.0002750715,0.0001714931,0.001842509,0.02629462],"study_design_scores_gemma":[0.000282592,0.0002163524,0.8548337,0.0001874579,0.0003171095,0.000142343,0.000390927,0.1392249,0.001225796,0.0002924399,0.002853504,0.00003291148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801052,0.0007059186,0.00752791,0.0006352193,0.00004855746,0.0006804624,0.005913034,0.0002264981,0.004157206],"genre_scores_gemma":[0.9705107,0.0003141876,0.02286575,0.0001692098,0.00001716574,0.0001797667,0.005428336,0.00001907607,0.0004958947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1416019,"threshold_uncertainty_score":0.2848715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.22500962873249,"score_gpt":0.4781878391440832,"score_spread":0.2531782104115933,"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."}}