{"id":"W4299551775","doi":"10.17615/cmcv-xj36","title":"Effects of Intensive Glucose Lowering in Type 2 Diabetes","year":2020,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Diet and metabolism studies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NIH Clinical Center; National Institute of Diabetes and Digestive and Kidney Diseases; Centers for Disease Control and Prevention; National Institutes of Health; Novo Nordisk; Insulet Corporation; Vlaamse regering; Tulane University; GlaxoSmithKline; McMaster University; SUNY Downstate Medical Center; Wake Forest University; National Heart, Lung, and Blood Institute; Pfizer; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb; Bayer HealthCare; Omron Healthcare; Sanofi; MannKind Corporation; Abbott Laboratories","keywords":"Type 2 diabetes; Continuous glucose monitoring; Diabetes mellitus; Medicine; Internal medicine; Endocrinology; Type 1 diabetes","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001465515,0.000223026,0.0005716041,0.000325326,0.000324745,0.0004743512,0.000237314,0.0004061694,0.002493332],"category_scores_gemma":[0.002956094,0.0001283209,0.0006210938,0.0005075417,0.0002516053,0.0002794525,0.0004085278,0.0009146176,0.0001180005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002682201,"about_ca_system_score_gemma":0.0004039297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001864562,"about_ca_topic_score_gemma":0.002766826,"domain_scores_codex":[0.9990941,0.0006054748,0.00005979943,0.00004154446,0.00009863726,0.0001004795],"domain_scores_gemma":[0.9975968,0.00116472,0.0004338591,0.0001472118,0.00006678706,0.0005905772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.2551484,0.03959819,0.1981454,0.002090173,0.002808902,0.0005882332,0.0004506067,0.001071281,0.005512554,0.0007533535,0.00262683,0.4912061],"study_design_scores_gemma":[0.01254697,0.09810957,0.8787454,0.0003984555,0.002238884,0.0002443647,0.0002836816,0.000415269,0.001269322,0.0008523933,0.004852422,0.00004320094],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977668,0.01451401,0.0001000253,0.0007353829,0.0001610246,0.00007444446,0.0001785128,0.00001120027,0.006557307],"genre_scores_gemma":[0.9928917,0.00485491,0.0003108951,0.001023948,0.0003022318,0.0000372814,0.000101336,0.000002669905,0.0004750621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002493332,"threshold_uncertainty_score":0.008341014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410538288249883,"score_gpt":0.2231635069915229,"score_spread":0.2090581241090241,"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."}}