{"id":"W3155862248","doi":"10.1152/ajpendo.00619.2020","title":"Increased postprandial nonesterified fatty acid efflux from adipose tissue in prediabetes is offset by enhanced dietary fatty acid adipose trapping","year":2021,"lang":"en","type":"article","venue":"American Journal of Physiology-Endocrinology and Metabolism","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Institute of Health Services and Policy Research; Government of Canada","keywords":"Adipose tissue; Lipolysis; Postprandial; Internal medicine; Endocrinology; Fatty acid; White adipose tissue; Chemistry; Prediabetes; Intracellular; Biochemistry; Biology; Type 2 diabetes; Diabetes mellitus; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003497807,0.0002148879,0.0003940007,0.0003441636,0.0001851867,0.0004573617,0.0001418634,0.0002705016,0.00162135],"category_scores_gemma":[0.0004709898,0.0002439959,0.0002062822,0.0002961948,0.0001783698,0.0002294831,0.0003005685,0.0006822561,0.0001792475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001580442,"about_ca_system_score_gemma":0.0001640237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007002939,"about_ca_topic_score_gemma":0.0008828831,"domain_scores_codex":[0.9999055,0.00002276284,0.0000115296,0.00002274396,0.00001250989,0.00002492179],"domain_scores_gemma":[0.9997463,0.00006902331,0.00006504311,0.00003791027,0.00002081019,0.00006091692],"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":[0.01735967,0.0003809168,0.1620132,0.0002236648,0.0001157134,0.0006863864,0.000192733,0.0003143576,0.7972149,0.0002702544,0.0002063106,0.02102183],"study_design_scores_gemma":[0.00009476663,0.00114059,0.9247644,0.00001511466,0.00008235266,0.0008958174,0.0001769069,0.0009323052,0.07095055,0.0002488864,0.0006837721,0.00001453426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984981,0.0004164429,0.0006744824,0.00003962171,0.00000718379,0.000002431978,0.00008880942,0.00001762941,0.0002553384],"genre_scores_gemma":[0.9987644,0.0001325822,0.0004643144,0.00005088191,0.000005512531,0.00001244846,0.0001567758,0.000007798999,0.000405305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00162135,"threshold_uncertainty_score":0.005423903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121385666228953,"score_gpt":0.2615778559454287,"score_spread":0.2503639992831392,"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."}}