{"id":"W2055900433","doi":"10.1089/dia.2012.0132","title":"Using Multiple Measures of Glycemia to Support Individualized Diabetes Management: Recommendations for Clinicians, Patients, and Payers","year":2012,"lang":"en","type":"review","venue":"Diabetes Technology & Therapeutics","topic":"Diabetes Management and Research","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Diabetes Canada","funders":"Bayer HealthCare","keywords":"Accreditation; Medicine; Continuing medical education; Glycemic; Certification; Glycated hemoglobin; Medical education; Family medicine; Medical laboratory; Continuing education; Diabetes mellitus; Nursing; Type 2 diabetes; Management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.03770639,0.001990403,0.002476664,0.00498232,0.002594122,0.007248397,0.006271427,0.007910348,0.01623869],"category_scores_gemma":[0.1102716,0.001561055,0.002296572,0.003028753,0.001407165,0.008099482,0.004853823,0.01163194,0.01201871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003265401,"about_ca_system_score_gemma":0.01534282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005579008,"about_ca_topic_score_gemma":0.01864416,"domain_scores_codex":[0.9811447,0.009681731,0.002645523,0.000604749,0.005278061,0.0006452702],"domain_scores_gemma":[0.9095792,0.03051606,0.008456705,0.002302598,0.03831038,0.01083508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001501763,0.0006656778,0.008067314,0.0008597981,0.00007803069,0.0002381182,0.0003833447,0.0008502302,0.0002313043,0.001594358,0.7067211,0.2801605],"study_design_scores_gemma":[0.001218633,0.001069235,0.05690043,0.02314053,0.0006955678,0.00154966,0.007453927,0.01750345,0.001178381,0.04162745,0.8470867,0.000576021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.007492189,0.0196715,0.05845883,0.8439463,0.0120609,0.005052002,0.001529051,0.003417296,0.04837191],"genre_scores_gemma":[0.0668219,0.06521548,0.6865153,0.104625,0.01637534,0.01475588,0.003872766,0.0008520979,0.04096607],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03770639,"threshold_uncertainty_score":0.1994128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2490347714222153,"score_gpt":0.4280966948788064,"score_spread":0.1790619234565911,"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."}}