{"id":"W2948406734","doi":"10.2337/db19-1672-p","title":"1672-P: Identifying Type 1 Diabetes in Electronic Medical Records Data in Ontario: A Validation Study","year":2019,"lang":"en","type":"article","venue":"Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Medical record; Cart; Metformin; Cohort; Type 2 diabetes; Diagnosis code; Diabetes mellitus; Pediatrics; Cohort study; Internal medicine; Retrospective cohort study; Electronic medical record; Emergency medicine; Insulin; Population; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005177286,0.0004280613,0.0003734882,0.0009158062,0.001890507,0.000917116,0.001000374,0.0005152915,0.002048379],"category_scores_gemma":[0.0231017,0.0004397409,0.0006937396,0.002010606,0.001130833,0.0006898015,0.001017125,0.0005520944,0.0007238259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01153506,"about_ca_system_score_gemma":0.01385889,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8967872,"about_ca_topic_score_gemma":0.9089028,"domain_scores_codex":[0.9969599,0.0008416089,0.0002145199,0.0003749978,0.00116911,0.0004398331],"domain_scores_gemma":[0.9807048,0.004353407,0.003167271,0.002281047,0.008459115,0.001034317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003543728,0.0003234806,0.9897002,0.00008920438,0.0000739579,0.0001635374,0.001579036,0.0001751304,0.0004743765,0.00008149035,0.001469045,0.005516265],"study_design_scores_gemma":[0.00007503622,0.0001269937,0.9971868,0.00002830054,0.00003737033,0.00006945033,0.0005315005,0.0006148075,0.0001235643,0.00001569898,0.001180973,0.000009461854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951116,0.0000943469,0.0003011216,0.000123014,0.000007569293,0.0003441577,0.002657393,0.00001352771,0.001347127],"genre_scores_gemma":[0.9917895,0.0001515428,0.00107047,0.0002181873,0.00001419069,0.0003355125,0.005228227,0.00002108591,0.001171349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1032128,"threshold_uncertainty_score":0.2076412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04900387505521785,"score_gpt":0.3405377265252155,"score_spread":0.2915338514699976,"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."}}