{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008751222,0.0005950018,0.002169267,0.001901316,0.0001720892,0.00003909587,0.0005421973,0.0008088906,0.00003120501],"category_scores_gemma":[0.0001049974,0.000500485,0.0004220601,0.001147943,0.0003683566,0.00009486941,0.0005322026,0.0005264094,0.00001719068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001253331,"about_ca_system_score_gemma":0.00008110586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.361576e-7,"about_ca_topic_score_gemma":0.0000017553,"domain_scores_codex":[0.9966683,0.0001222019,0.001110729,0.0006400631,0.0003912472,0.001067414],"domain_scores_gemma":[0.9977357,0.0004445683,0.0005749304,0.000790865,0.0002776117,0.0001763049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000241072,0.000368685,0.04400331,0.01101229,0.003217239,4.564835e-7,0.0000365559,8.14223e-8,0.000009055826,0.0001724107,0.0004324179,0.9407234],"study_design_scores_gemma":[0.001890217,0.000905944,0.0001313464,0.003388839,0.009438745,1.815349e-7,0.00008403218,0.00003123549,0.00009796194,0.0002154491,0.9833639,0.0004521742],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006838475,0.9836475,0.0001282497,0.0008083601,0.0004876647,0.007037573,0.000532132,0.0002454136,0.0002746165],"genre_scores_gemma":[0.002615045,0.9779987,0.01564883,0.0008993613,0.00009873044,0.0009196493,0.001264712,0.0002215861,0.0003333301],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9829314,"threshold_uncertainty_score":0.9997447,"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."}}