{"id":"W2129575773","doi":"10.1152/ajpendo.00461.2005","title":"Assessment of postprandial glucose metabolism: conventional dual- vs. triple-tracer method","year":2006,"lang":"en","type":"article","venue":"American Journal of Physiology-Endocrinology and Metabolism","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Center for Research Resources; American Diabetes Association; Novo Nordisk; Mayo Clinic; NIH Clinical Center; National Institutes of Health; Ministero dell'Università e della Ricerca","keywords":"Postprandial; TRACER; Chemistry; Meal; Carbohydrate metabolism; Metabolism; Endocrinology; Internal medicine; Nuclear medicine; Insulin; Medicine; Biochemistry; Physics","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":[0.001524873,0.000686058,0.001192704,0.0006234783,0.0001812184,0.000848886,0.0007840983,0.001158277,0.0007913826],"category_scores_gemma":[0.001674922,0.0003907152,0.0003490329,0.0006798361,0.0004612225,0.000590945,0.0006640361,0.0009696822,0.0004051613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003160841,"about_ca_system_score_gemma":0.0002941253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006551656,"about_ca_topic_score_gemma":0.0006993149,"domain_scores_codex":[0.9990857,0.0002579866,0.00004128127,0.0003309449,0.0002140933,0.00006996372],"domain_scores_gemma":[0.9993229,0.0002178373,0.0001180185,0.00009588723,0.0001595245,0.00008585469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01140896,0.0002232814,0.03114787,0.000655373,0.0003120511,0.0004316291,0.0002906332,0.001183868,0.8871265,0.0006799619,0.000446752,0.0660931],"study_design_scores_gemma":[0.001043417,0.009979746,0.1902445,0.0001502493,0.00143544,0.007926193,0.0004403972,0.1064468,0.6739723,0.001879545,0.006110022,0.0003713984],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7967445,0.007509656,0.1919532,0.00009818468,0.0001630575,0.0002100319,0.0003770865,0.0006177062,0.002326494],"genre_scores_gemma":[0.87613,0.002366863,0.1178108,0.0002086676,0.00006658567,0.000435215,0.0004404773,0.0001910653,0.002350261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001524873,"threshold_uncertainty_score":0.008064449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005738616441471572,"score_gpt":0.2823174705040352,"score_spread":0.2765788540625637,"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."}}