{"id":"W3042558568","doi":"10.1089/dia.2020.0204","title":"The Canadian LMC Diabetes Registry: A Profile of the Demographics, Management, and Outcomes of Individuals with Type 1 Diabetes","year":2020,"lang":"en","type":"article","venue":"Diabetes Technology & Therapeutics","topic":"Diabetes Management and Research","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"LMC Diabetes & Endocrinology (Canada)","funders":"","keywords":"Medicine; Glycemic; Cohort; Diabetes mellitus; Hypoglycemia; Type 1 diabetes; Diabetes management; Population; Type 2 diabetes; Medical record; Cohort study; Pediatrics; Retrospective cohort study; Demographics; Internal medicine; Demography; Environmental health; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004078983,0.0002741812,0.0005403415,0.0003594129,0.0003146667,0.00004685076,0.000775977,0.0002487512,0.00001398711],"category_scores_gemma":[0.0001016442,0.0001484121,0.0001046361,0.001827466,0.002112935,0.00005275837,0.000350353,0.0004908576,0.000004064858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002854245,"about_ca_system_score_gemma":0.0001230165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003289203,"about_ca_topic_score_gemma":0.0005685667,"domain_scores_codex":[0.9980023,0.00007316815,0.0003703654,0.0003485843,0.0004577318,0.0007478441],"domain_scores_gemma":[0.9983479,0.0001853146,0.0002602187,0.0008335225,0.000228712,0.0001442976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001116241,0.00005561715,0.9764452,0.0002913525,0.002045517,0.00000132358,0.00007132245,6.027297e-7,0.001071278,0.002689185,0.0004519091,0.01686552],"study_design_scores_gemma":[0.001617683,0.001213685,0.9046157,0.0002841393,0.001443476,2.527499e-7,0.0006481622,0.000398908,0.02688332,0.002523653,0.06002285,0.0003481648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658844,0.003562344,8.281184e-7,0.02789766,0.00007012812,0.00113188,0.00003604817,0.0000892922,0.001327402],"genre_scores_gemma":[0.996429,0.000336896,0.0005036103,0.002140859,0.0000178528,0.00007105518,0.00001479203,0.00004655435,0.0004394191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07182951,"threshold_uncertainty_score":0.7785198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744471841732518,"score_gpt":0.254974876215816,"score_spread":0.2375301577984909,"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."}}