{"id":"W4285388925","doi":"10.2337/dc21-2341","title":"Population-Level Impact and Cost-effectiveness of Continuous Glucose Monitoring and Intermittently Scanned Continuous Glucose Monitoring Technologies for Adults With Type 1 Diabetes in Canada: A Modeling Study","year":2022,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Diabetes Management and Research","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Medicine; Continuous glucose monitoring; Type 1 diabetes; Blood Glucose Self-Monitoring; Population; Quality-adjusted life year; Cohort; Cost effectiveness; Diabetes mellitus; Emergency medicine; Pediatrics; Internal medicine; Environmental health; Endocrinology; Risk analysis (engineering)","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":[0.0004307929,0.0002684043,0.000728535,0.0003730823,0.0001679222,0.00004386298,0.0001689051,0.0000515797,0.000001683507],"category_scores_gemma":[0.000243741,0.0002265721,0.00004951021,0.0004532315,0.00005431738,0.0001307984,0.0003419032,0.0002906044,1.126556e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006113094,"about_ca_system_score_gemma":0.0001796899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02655706,"about_ca_topic_score_gemma":0.008745946,"domain_scores_codex":[0.9981222,0.0001165471,0.0003230987,0.0004575854,0.0004149453,0.0005656308],"domain_scores_gemma":[0.9988882,0.000306489,0.0001194278,0.0002756248,0.000318872,0.00009142057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006259984,0.0001337926,0.9388396,0.0009674574,0.0002435167,0.00001951407,0.0006832114,0.0009945179,0.001901208,9.757638e-7,0.000002529145,0.05558766],"study_design_scores_gemma":[0.005327486,0.002658464,0.9146153,0.001127623,0.0001548521,5.683779e-7,0.0584015,0.009851019,0.007569485,0.00001749962,0.000004605677,0.0002715818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910814,0.005032914,0.000002331503,0.00001951064,0.0001930555,0.003484995,0.0001148157,0.00006156602,0.000009375078],"genre_scores_gemma":[0.9988579,0.00004136401,0.00009058693,0.000003036182,0.00003207109,0.0008383481,0.00008016828,0.00004809819,0.000008444384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05771829,"threshold_uncertainty_score":0.9799252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024024545800914,"score_gpt":0.2916862396914379,"score_spread":0.2676616938905239,"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."}}