{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003622701,0.0001759662,0.000532307,0.0001584307,0.0001544245,0.0000946346,0.0009610095,0.00008146422,0.0001497341],"category_scores_gemma":[0.003513596,0.0001354212,0.00001718403,0.001213146,0.0001790497,0.0003106066,0.002271415,0.000683178,8.728257e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003575023,"about_ca_system_score_gemma":0.003625281,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3378572,"about_ca_topic_score_gemma":0.6104378,"domain_scores_codex":[0.9954845,0.0008944909,0.000538637,0.0006385244,0.001754093,0.0006897795],"domain_scores_gemma":[0.997371,0.0006176258,0.000136231,0.0006711661,0.000844688,0.0003593432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001160147,0.00008015628,0.9744092,0.001088115,0.0001162895,0.000009498746,0.001397119,0.000007303618,0.0002878966,0.000009203554,0.0002537782,0.02222539],"study_design_scores_gemma":[0.0008142717,0.003816941,0.9770318,0.000955231,0.00007627338,2.489875e-7,0.004053362,0.01148695,0.001420879,0.00005275509,0.0001189776,0.0001723282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901453,0.001660821,4.588564e-7,0.002928923,0.0000463436,0.005099336,0.00006506393,0.000005719848,0.00004798725],"genre_scores_gemma":[0.9990199,0.0001021763,0.000272089,0.0001857359,0.00004825667,0.0001135271,0.0001784238,0.00002195856,0.00005790052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2725806,"threshold_uncertainty_score":0.6665521,"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."}}