{"id":"W2948859911","doi":"10.2337/db19-234-lb","title":"234-LB: Incidence Trends of Diabetic Ketoacidosis at and after Diagnosis of Type 1 Diabetes in British Columbia, Canada","year":2019,"lang":"en","type":"article","venue":"Diabetes","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diabetic ketoacidosis; Medicine; Type 1 diabetes; Poisson regression; Incidence (geometry); Pediatrics; Rate ratio; Diabetes mellitus; Population; Cohort; Internal medicine; Endocrinology; Environmental health","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":[0.0006299204,0.0004127383,0.0004806748,0.002687712,0.001543876,0.001372956,0.001684337,0.0006038221,0.003291836],"category_scores_gemma":[0.00227728,0.0004062587,0.0007804831,0.005325995,0.0003613094,0.0004303132,0.0006480266,0.0008969534,0.0005917918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02638119,"about_ca_system_score_gemma":0.02729427,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972109,"about_ca_topic_score_gemma":0.9975088,"domain_scores_codex":[0.9988525,0.00007243508,0.0001083287,0.0002115833,0.0003958669,0.0003592107],"domain_scores_gemma":[0.9962457,0.0001290342,0.0005242593,0.00007774826,0.002423325,0.0005999706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000717788,0.00003142049,0.9872788,0.00009079187,0.0000921433,0.00008282856,0.0002844486,0.0002796472,0.0001504367,0.00009369767,0.005652712,0.005891261],"study_design_scores_gemma":[0.000007178188,0.00001250782,0.9973055,0.00007128929,0.00003079383,0.00006480794,0.0004888889,0.0005051373,0.00004369629,0.00001281733,0.001446648,0.00001071098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9182243,0.004673531,0.000393305,0.001243655,0.00009758341,0.0001008391,0.06660672,0.0001329815,0.008527073],"genre_scores_gemma":[0.9774702,0.001767412,0.0004728794,0.0002710754,0.00001766771,0.0000487133,0.0153528,0.00002551318,0.004573782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02638119,"threshold_uncertainty_score":0.1914099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00223893285547016,"score_gpt":0.1753545073660729,"score_spread":0.1731155745106027,"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."}}