{"id":"W2114528799","doi":"10.2337/db06-0551","title":"Mechanisms of the Depot Specificity of Peroxisome Proliferator–Activated Receptor γ Action on Adipose Tissue Metabolism","year":2006,"lang":"en","type":"article","venue":"Diabetes","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Endocrinology; Internal medicine; Adipose tissue; Lipolysis; Chemistry; Beta oxidation; Lipoprotein lipase; Fatty acid; Lipid metabolism; Peroxisome; Triglyceride; Intra-Abdominal Fat; Receptor; Biology; Metabolism; Biochemistry; Cholesterol; Insulin resistance; Medicine; Insulin","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001742198,0.0002638485,0.0003351961,0.00008640037,0.00009224095,0.00001572348,0.0003149066,0.0002775494,0.00007455757],"category_scores_gemma":[0.0001219012,0.0001983169,0.0001535526,0.0002900579,0.0001357823,0.00001252628,0.00009652037,0.0001802933,0.000009815459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003106657,"about_ca_system_score_gemma":0.0000715348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002971118,"about_ca_topic_score_gemma":0.000006539452,"domain_scores_codex":[0.9984133,0.0001871753,0.0003936762,0.0003866424,0.0003021711,0.0003170411],"domain_scores_gemma":[0.9988874,0.00002664473,0.0003245341,0.0005127625,0.0001870107,0.00006165463],"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":[0.00009172298,0.0002665134,0.003211892,0.00003808271,0.00009891996,1.022711e-7,0.00001611905,0.0000633843,0.9944131,0.0005140748,0.0006010777,0.0006850546],"study_design_scores_gemma":[0.0004100832,0.0002373829,0.004632665,0.00003264924,0.00003395656,6.253331e-7,0.00002721624,0.000008591877,0.9900804,0.0003420704,0.003989753,0.0002045749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981511,0.0003352045,0.00008033461,0.00008666299,0.0004765489,0.0004065902,0.00009953053,0.00002526492,0.0003387323],"genre_scores_gemma":[0.9988978,0.00002908148,0.0003429821,0.00008011699,0.000238041,0.00004603809,0.00009235335,0.00004574506,0.0002278384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004332625,"threshold_uncertainty_score":0.8087128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00923261215128398,"score_gpt":0.2263037373845877,"score_spread":0.2170711252333037,"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."}}