{"id":"W2897880654","doi":"10.1016/j.metabol.2018.09.007","title":"PPARγ is a major regulator of branched-chain amino acid blood levels and catabolism in white and brown adipose tissues","year":2018,"lang":"en","type":"article","venue":"Metabolism","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Montreal Heart Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Agence Universitaire de la Francophonie; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Internal medicine; Endocrinology; Insulin resistance; White adipose tissue; Adipocyte; Rosiglitazone; Catabolism; Adipose tissue; mTORC1; Biology; Branched-chain amino acid; Insulin; Brown adipose tissue; IRS1; Glucose homeostasis; Insulin receptor; Metabolism; Protein kinase B; Medicine; Biochemistry; Phosphorylation; Amino acid","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":[0.0002606373,0.0004775925,0.0004975402,0.0005478763,0.000346608,0.0008034421,0.0002231266,0.000323184,0.002651982],"category_scores_gemma":[0.0001744997,0.0002712681,0.0004114351,0.0005180241,0.0003070347,0.00022904,0.0004134777,0.0006481005,0.0007778833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004520057,"about_ca_system_score_gemma":0.0003818572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00109147,"about_ca_topic_score_gemma":0.001350662,"domain_scores_codex":[0.9997976,0.00004226349,0.00001349272,0.00005615334,0.00005188266,0.00003864419],"domain_scores_gemma":[0.9998869,0.00001854755,0.00002736438,0.000008508857,0.0000335929,0.00002505487],"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":[0.003083154,0.0001182423,0.01002609,0.0004566424,0.0003309896,0.0005409039,0.0001625414,0.0004817784,0.9110866,0.002633777,0.002610665,0.06846863],"study_design_scores_gemma":[0.0003278359,0.001418196,0.188566,0.0002796552,0.0008482281,0.003467564,0.0007925617,0.0026592,0.6736776,0.005981603,0.1218735,0.0001080953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7963636,0.1202289,0.046355,0.002497177,0.0008544486,0.0001367169,0.004173442,0.0006914859,0.02869938],"genre_scores_gemma":[0.9149022,0.02609557,0.009667129,0.0009700608,0.0002405749,0.0001242544,0.003461827,0.0001221892,0.04441618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002651982,"threshold_uncertainty_score":0.008871794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728455681051119,"score_gpt":0.2693956132121761,"score_spread":0.252111056401665,"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."}}