{"id":"W2091977092","doi":"10.2337/dc13-0512","title":"Personalized Management of Hyperglycemia in Type 2 Diabetes","year":2013,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Genentech; Servier; Chinese University of Hong Kong; Sanofi; Halozyme; F. Hoffmann-La Roche; Novo Nordisk; Daiichi-Sankyo; Teva Pharmaceutical Industries; Intarcia Therapeutics; MannKind Corporation; GlaxoSmithKline; Pfizer; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Medicine; Diabetes management; Personalized medicine; Diabetes mellitus; Type 2 diabetes; Specialty; Intensive care medicine; MEDLINE; Disease management; Prediabetes; Clinical trial; Precision medicine; Alternative medicine; Family medicine; Bioinformatics; Internal medicine; Health management system; Pathology","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":[0.007408717,0.0004845896,0.0006769371,0.0007707165,0.001253422,0.003222155,0.0006128425,0.002956389,0.002542783],"category_scores_gemma":[0.01414421,0.0002261304,0.0007181253,0.0006332389,0.001257414,0.002294145,0.002578572,0.007089095,0.0005081781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001726829,"about_ca_system_score_gemma":0.002622966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006879928,"about_ca_topic_score_gemma":0.002573481,"domain_scores_codex":[0.995953,0.00236541,0.0003538031,0.0002498932,0.000790426,0.000287432],"domain_scores_gemma":[0.9948794,0.003133997,0.0005076572,0.0001950998,0.0005886844,0.0006951483],"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":[0.0003300523,0.0002687103,0.0040234,0.00076031,0.0001205894,0.0006912667,0.001201845,0.0005691497,0.0008062266,0.02415076,0.3933888,0.5736889],"study_design_scores_gemma":[0.0002611902,0.0003195296,0.005519007,0.001535214,0.0001598016,0.001035459,0.001217458,0.0008994058,0.0007677348,0.05275954,0.9354416,0.0000840029],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006541382,0.1115619,0.009104799,0.8186131,0.03977837,0.000115119,0.00009026926,0.0001486583,0.01404634],"genre_scores_gemma":[0.148773,0.1594768,0.03032686,0.5260468,0.1230206,0.0002831652,0.0002686603,0.0001086559,0.01169543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007408717,"threshold_uncertainty_score":0.03918153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009486422332321737,"score_gpt":0.2322379548131714,"score_spread":0.2227515324808497,"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."}}