{"id":"W2883161703","doi":"10.1111/dme.13782","title":"Diabetes transition care and adverse events: a population‐based cohort study in Ontario, Canada","year":2018,"lang":"en","type":"article","venue":"Diabetic Medicine","topic":"Adolescent and Pediatric Healthcare","field":"Health Professions","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Health Sciences Centre; Sunnybrook Health Science Centre; Institute for Work & Health; Institute for Clinical Evaluative Sciences; University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Diabetic ketoacidosis; Diabetes mellitus; Hazard ratio; Population; Pediatrics; Cohort; Cohort study; Young adult; Gerontology; Internal medicine; Confidence interval; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005763899,0.0001587373,0.0003862315,0.0001430751,0.0003164314,6.26215e-7,0.00007386915,0.000108397,0.001176207],"category_scores_gemma":[0.000159385,0.0001317544,0.0000140451,0.0002386739,0.00004021078,0.00004445745,0.00001816304,0.0004438195,0.000009502729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008676638,"about_ca_system_score_gemma":0.001261908,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9741998,"about_ca_topic_score_gemma":0.9974985,"domain_scores_codex":[0.9978805,0.0004364554,0.0005445016,0.0002954405,0.0003934066,0.0004497099],"domain_scores_gemma":[0.9990018,0.0002450218,0.0001166269,0.000226338,0.0001778772,0.0002323099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002150282,0.00003282867,0.9859527,0.0002478823,0.000007625128,0.000005028754,0.01226334,0.000001698628,0.000001348141,0.000003036444,0.001110578,0.0003524325],"study_design_scores_gemma":[0.002544372,0.0003446582,0.9843093,0.0004890899,0.00006173008,5.361714e-8,0.0111552,0.0001092606,5.702256e-7,0.00002191853,0.000845109,0.0001186918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947407,0.0001450786,0.00001075236,0.001729254,0.0007735134,0.001966598,0.00001397342,0.00002653317,0.0005935746],"genre_scores_gemma":[0.9961566,0.000005143824,0.00003167622,0.002806659,0.0005035868,0.0001211409,0.0002307621,0.00001644457,0.0001279304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02329861,"threshold_uncertainty_score":0.9997368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02992297573703246,"score_gpt":0.3483919426150178,"score_spread":0.3184689668779854,"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."}}