{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005636999,0.000193164,0.0004031211,0.0001827777,0.00002159171,0.00001724573,0.0001129844,0.0000639484,0.0006447594],"category_scores_gemma":[0.00001097044,0.0001655627,0.0001155885,0.0003571196,0.00007064988,0.00009967796,0.00009219637,0.00007818487,0.0005168192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025242,"about_ca_system_score_gemma":0.00001466538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009977464,"about_ca_topic_score_gemma":0.000001783842,"domain_scores_codex":[0.9987994,0.00002178206,0.0002534505,0.000270977,0.0002472218,0.0004071714],"domain_scores_gemma":[0.9993514,0.00002938825,0.0000621083,0.0003350581,0.0001260848,0.00009595929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001871149,0.0001703376,0.9518648,0.00120624,0.0003490758,0.00001015039,0.0004062915,0.000003969586,0.001534364,0.0004987799,0.002476947,0.04146036],"study_design_scores_gemma":[0.00454523,0.0006473095,0.967298,0.0008558608,0.0004697457,1.181743e-7,0.003874419,0.0001673911,0.008328492,0.000238321,0.01324944,0.0003256513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744774,0.003206771,2.951608e-7,0.0002291369,0.0001489657,0.0008570728,0.000007122808,0.00005662206,0.02101664],"genre_scores_gemma":[0.996644,0.0001860184,0.0009670387,0.000366759,0.00002897799,0.0001912544,0.0001600262,0.00002975753,0.001426227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04113471,"threshold_uncertainty_score":0.7059664,"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."}}