{"id":"W2101527210","doi":"10.1152/ajpendo.90675.2008","title":"Impact of body composition on very-low-density lipoprotein-triglycerides kinetics","year":2008,"lang":"en","type":"article","venue":"American Journal of Physiology-Endocrinology and Metabolism","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes","funders":"Novo Nordisk Fonden; Sundhed og Sygdom, Det Frie Forskningsråd","keywords":"Very low-density lipoprotein; Internal medicine; Endocrinology; Chemistry; Adipose tissue; Hypertriglyceridemia; Lipoprotein; Triglyceride; Cholesterol; Medicine","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":[0.0002247699,0.0002293265,0.0002415866,0.0001607551,0.0001383353,0.0003026671,0.00005158295,0.0001181323,0.00135182],"category_scores_gemma":[0.0004615636,0.000110362,0.0001667952,0.0001268835,0.0001708124,0.0001095859,0.0002398158,0.000204639,0.0001627152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008795969,"about_ca_system_score_gemma":0.00007188254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006718804,"about_ca_topic_score_gemma":0.0006232312,"domain_scores_codex":[0.999896,0.00004491514,0.000006097287,0.00001553825,0.0000140216,0.00002329414],"domain_scores_gemma":[0.9997584,0.00008606972,0.0000355019,0.00003421306,0.00001454581,0.00007127418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0536335,0.0009795991,0.5279769,0.0001520859,0.0004082432,0.0007036579,0.0003343677,0.0005786595,0.3530563,0.0002021636,0.0001896829,0.06178484],"study_design_scores_gemma":[0.00007997155,0.002650699,0.9874944,0.000009007951,0.0001177618,0.0003471059,0.0001350974,0.0005059474,0.008119224,0.00008783843,0.0004459908,0.000006842152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989229,0.0003827787,0.0001390112,0.00001574586,0.000008518288,0.000005136845,0.00004100501,0.000003640967,0.000481248],"genre_scores_gemma":[0.9993554,0.0001391683,0.0001168233,0.00002460245,0.000005377419,0.000006471194,0.00007139543,0.000003169853,0.0002775929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00135182,"threshold_uncertainty_score":0.004522324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235534617579137,"score_gpt":0.2795212869525173,"score_spread":0.2671659407767259,"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."}}