{"id":"W2146901298","doi":"10.2337/dc08-9025","title":"Medical Management of Hyperglycemia in Type 2 Diabetes: A Consensus Algorithm for the Initiation and Adjustment of Therapy","year":2008,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":3837,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Insulet Corporation; Novo Nordisk; Sanofi; GlaxoSmithKline; Servier; Pfizer; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Medicine; Psychological intervention; Algorithm; Consensus algorithm; Diabetes mellitus; Type 2 diabetes; Intensive care medicine; MEDLINE; Diabetes management; Computer science; Nursing","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":[0.05767733,0.004675314,0.007437344,0.01357763,0.004853491,0.007064465,0.01260533,0.008756494,0.003640332],"category_scores_gemma":[0.0509272,0.001873205,0.007151163,0.0068035,0.00403899,0.007078556,0.008572994,0.01815708,0.004995978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01048214,"about_ca_system_score_gemma":0.03136097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007934014,"about_ca_topic_score_gemma":0.01101722,"domain_scores_codex":[0.9512902,0.02116579,0.01245408,0.00222818,0.01104181,0.00181991],"domain_scores_gemma":[0.9414138,0.01006655,0.005992144,0.001346942,0.03681342,0.004367196],"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":[0.0005970692,0.0009755311,0.01091759,0.004784867,0.0008008304,0.001444762,0.001385953,0.009831153,0.000871625,0.02108509,0.4943413,0.4529643],"study_design_scores_gemma":[0.00331875,0.001520224,0.03583985,0.03904345,0.002453047,0.008004499,0.004344581,0.05677339,0.00334967,0.1214641,0.7226551,0.001233405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01031381,0.06708881,0.4839798,0.3564301,0.02269418,0.01702671,0.002939054,0.004515388,0.0350122],"genre_scores_gemma":[0.02772328,0.02325187,0.9120622,0.01498214,0.003430011,0.009456055,0.004975569,0.0003800103,0.00373895],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05767733,"threshold_uncertainty_score":0.3050305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024918920528253,"score_gpt":0.2630219083756123,"score_spread":0.2427727191703297,"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."}}