{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005566497,0.000386339,0.0005509098,0.001008791,0.002619552,0.001195684,0.001045401,0.000471092,0.001358503],"category_scores_gemma":[0.001109792,0.0004409552,0.000707766,0.00410815,0.0005361583,0.0005186138,0.0009600583,0.0006823725,0.0002088468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01674658,"about_ca_system_score_gemma":0.02184999,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9910181,"about_ca_topic_score_gemma":0.9940501,"domain_scores_codex":[0.9991813,0.00004263579,0.00006102934,0.0001676009,0.0002615221,0.0002859178],"domain_scores_gemma":[0.9988174,0.00003240626,0.0003039145,0.00005493964,0.0004517882,0.0003396621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005499169,0.00002874624,0.9972479,0.00002572708,0.00005299161,0.0000669634,0.0004116996,0.00004100068,0.00009127273,0.00003908743,0.0009329963,0.001006666],"study_design_scores_gemma":[0.00001032181,0.00001615652,0.9988985,0.00002419133,0.00002006959,0.00002780729,0.0004231788,0.00009850733,0.00001081748,0.00001153211,0.0004544068,0.000004471627],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819597,0.001033194,0.0001885492,0.0003850184,0.0000204749,0.0001526335,0.01438033,0.00001572417,0.00186424],"genre_scores_gemma":[0.9936904,0.0005946032,0.0002177617,0.0001620547,0.000008300609,0.0000606206,0.004252699,0.000005134469,0.001008412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01674658,"threshold_uncertainty_score":0.1215055,"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."}}