{"id":"W2166517174","doi":"10.1002/biof.1022","title":"Fargesin improves lipid and glucose metabolism in 3T3‐L1 adipocytes and high‐fat diet‐induced obese mice","year":2012,"lang":"en","type":"article","venue":"BioFactors","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Internal medicine; Endocrinology; GLUT4; AMPK; 3T3-L1; White adipose tissue; Glucose transporter; Insulin resistance; Beta oxidation; Carnitine; Protein kinase B; Lipid metabolism; AMP-activated protein kinase; Chemistry; Protein kinase A; Acetyl-CoA carboxylase; Triglyceride; Adipose tissue; Diet-induced obese; Thermogenin; Biology; Phosphorylation; Insulin; Pyruvate carboxylase; Metabolism; Adipocyte; Biochemistry; Medicine; Cholesterol","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001709981,0.0003273229,0.0002954116,0.0001221039,0.00008044345,0.00004915522,0.0001411645,0.0003735274,0.0000308337],"category_scores_gemma":[0.0001808123,0.0002831616,0.00005487843,0.0001466094,0.0001125377,0.00003575598,0.0001942112,0.000189027,0.00001039359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002632344,"about_ca_system_score_gemma":0.00004223206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001999108,"about_ca_topic_score_gemma":0.00004822543,"domain_scores_codex":[0.9985246,0.0001040318,0.0002531662,0.0004535916,0.0001219283,0.0005426958],"domain_scores_gemma":[0.9992834,0.00002679417,0.00009713973,0.0002628777,0.00003890815,0.0002908212],"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":[0.0001405932,0.00009612498,0.04412817,0.00002933607,0.00005871845,6.850969e-7,0.000173045,1.275569e-7,0.9519688,0.0000254581,0.0001299448,0.003248961],"study_design_scores_gemma":[0.0006828575,0.0001550622,0.09278984,0.00001354323,0.00002560862,0.000006014819,0.000116593,0.000003237497,0.8942988,0.000009756492,0.01156115,0.0003375478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989409,0.00957822,0.000005452759,0.00008654166,0.0005442688,0.0002439054,0.00003517033,0.00002699708,0.0000704427],"genre_scores_gemma":[0.9974324,0.001395657,0.0002491068,0.0001364453,0.0005485549,0.00003014442,0.00005199723,0.00004554227,0.0001102055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05767004,"threshold_uncertainty_score":0.999962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007740344726105,"score_gpt":0.2323506085937768,"score_spread":0.2222732051465157,"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."}}