{"id":"W2116705629","doi":"10.2337/dc10-0679","title":"A1C Between 5.7 and 6.4% as a Marker for Identifying Pre-Diabetes, Insulin Sensitivity and Secretion, and Cardiovascular Risk Factors","year":2010,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"National Center for Research Resources; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute","keywords":"Medicine; Internal medicine; Diabetes mellitus; Impaired fasting glucose; Impaired glucose tolerance; Endocrinology; Waist; Insulin resistance; Insulin; Glucose tolerance test; Obesity","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":[0.002823745,0.0006775541,0.0004307603,0.001367634,0.0003050859,0.0007423876,0.0005174791,0.0008216783,0.001362827],"category_scores_gemma":[0.004663491,0.0002307358,0.0004532246,0.0008575696,0.0003198177,0.0003872608,0.0003825976,0.0008176671,0.0003451243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002943863,"about_ca_system_score_gemma":0.0003148417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693378,"about_ca_topic_score_gemma":0.001788093,"domain_scores_codex":[0.998562,0.0007560315,0.0001077142,0.0001859131,0.0002973537,0.00009099834],"domain_scores_gemma":[0.9968606,0.0008532387,0.001431744,0.0001312347,0.0003514394,0.0003717449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006210497,0.00005700448,0.9951255,0.00002314379,0.0001784707,0.00006602716,0.00001992849,0.00015015,0.0004338815,0.00002801659,0.000170844,0.003126136],"study_design_scores_gemma":[0.00002977911,0.000504319,0.9964662,0.00003650676,0.0002383527,0.0005140285,0.00006124797,0.001358903,0.0003361001,0.0001011108,0.0003435444,0.000009798087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992487,0.005158398,0.00062777,0.0002647517,0.00007567259,0.00002560826,0.0002625612,0.00001464964,0.001083662],"genre_scores_gemma":[0.9978204,0.0005637381,0.0008928487,0.00007675371,0.00007850691,0.00001276041,0.0002334888,0.000002486725,0.0003190172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002823745,"threshold_uncertainty_score":0.01493353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107328749009924,"score_gpt":0.2403232189306264,"score_spread":0.229590344029634,"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."}}