{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002236231,0.0004104655,0.0004584127,0.004084571,0.002000331,0.0007889378,0.001364784,0.0003332356,0.00228048],"category_scores_gemma":[0.005582291,0.0002344233,0.0004220445,0.008941921,0.0003228801,0.0004891031,0.0009900084,0.0005432659,0.0004851965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01102409,"about_ca_system_score_gemma":0.02712396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9380336,"about_ca_topic_score_gemma":0.9623698,"domain_scores_codex":[0.9974763,0.0001629616,0.0002135027,0.000326024,0.001447064,0.0003740013],"domain_scores_gemma":[0.9928751,0.0002735537,0.001730948,0.0003045842,0.00397455,0.0008413953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001264482,0.00004344072,0.94924,0.0001820651,0.00007361409,0.00009261425,0.0003148618,0.0001121558,0.0001829326,0.0002869325,0.03237072,0.01697414],"study_design_scores_gemma":[0.00001250563,0.00002440307,0.9906507,0.00008510014,0.00003547978,0.0001299941,0.0002416902,0.0001415265,0.00004633645,0.00002634349,0.008589205,0.00001666308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6937069,0.004087914,0.001165932,0.002408613,0.0000974042,0.00106442,0.2731291,0.0002645406,0.0240752],"genre_scores_gemma":[0.8574003,0.003457394,0.003645492,0.0008621258,0.00009181706,0.0006959935,0.1314642,0.0000536448,0.002329211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9380336,"threshold_uncertainty_score":0.1246625,"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."}}