{"id":"W2117640092","doi":"10.2337/diabetes.54.7.1934","title":"A Multicompartmental Model of In Vivo Adipose Tissue Glycerol Kinetics and Capillary Permeability in Lean and Obese Humans","year":2005,"lang":"en","type":"article","venue":"Diabetes","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"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; Wellcome Trust","keywords":"Adipose tissue; Glycerol; In vivo; Permeability (electromagnetism); Kinetics; Chemistry; Internal medicine; Vascular permeability; Endocrinology; Biology; Biochemistry; Medicine; Biotechnology; Membrane","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":[0.0003189383,0.0004283548,0.0004464602,0.000264615,0.0001574319,0.000610056,0.00066656,0.0008032959,0.0006718097],"category_scores_gemma":[0.0006918784,0.0003698014,0.0005226152,0.0002765389,0.0002907651,0.0004147273,0.0003451392,0.0003987879,0.0002371733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005454872,"about_ca_system_score_gemma":0.0005162233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005994403,"about_ca_topic_score_gemma":0.003216741,"domain_scores_codex":[0.9998562,0.00005550757,0.000005989629,0.0000456021,0.00001816443,0.00001860935],"domain_scores_gemma":[0.9998285,0.0000869921,0.00003108551,0.00001513297,0.00001728398,0.00002097847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003542262,0.0007106994,0.01451362,0.0003999548,0.00037572,0.002115035,0.0004565638,0.7638743,0.1813456,0.009265759,0.001040614,0.02235984],"study_design_scores_gemma":[0.0001043913,0.0004276766,0.005090183,0.000009586981,0.00008316586,0.0007502795,0.00003957265,0.9861115,0.003832458,0.002434851,0.001089194,0.00002724864],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.823409,0.001702163,0.1713354,0.0004834276,0.0000290846,0.0001014643,0.0006069801,0.0002094487,0.002122955],"genre_scores_gemma":[0.9794515,0.0008054223,0.01666026,0.00008688686,0.00002040561,0.0001570646,0.0002744404,0.00004030485,0.0025037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005994403,"threshold_uncertainty_score":0.01191902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104275111185075,"score_gpt":0.2410052341443898,"score_spread":0.2305777230258823,"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."}}