{"id":"W2721080306","doi":"10.1016/j.molmet.2017.03.016","title":"Nrg4 promotes fuel oxidation and a healthy adipokine profile to ameliorate diet-induced metabolic disorders","year":2017,"lang":"en","type":"article","venue":"Molecular Metabolism","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute on Aging; National Institutes of Health; China Scholarship Council","keywords":"Adipokine; Adipose tissue; Endocrinology; Internal medicine; Lipid metabolism; Steatosis; White adipose tissue; Biology; Insulin resistance; Medicine; Obesity","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":[0.000473498,0.0004693742,0.0009725861,0.0003370932,0.0004481444,0.0001859573,0.0003325989,0.0001694113,0.00008991169],"category_scores_gemma":[0.0006516365,0.0004159054,0.0001755687,0.0002902241,0.0001333496,0.0003550293,0.0002564712,0.0003526461,0.0001793299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001766637,"about_ca_system_score_gemma":0.0001600221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004546506,"about_ca_topic_score_gemma":0.00008020637,"domain_scores_codex":[0.9973134,0.0001350086,0.000480284,0.0008117613,0.0005397713,0.0007197164],"domain_scores_gemma":[0.9972952,0.00001921191,0.0003137609,0.001417648,0.0002224376,0.0007317668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000893472,0.0003891322,0.001279183,0.0002379009,0.0004408162,0.0001151364,0.00132539,0.000001311663,0.8355327,0.0114887,0.0004340259,0.1478623],"study_design_scores_gemma":[0.006080792,0.0007231595,0.4446008,0.0001194719,0.001426575,0.00006834468,0.0001143372,0.0001110067,0.1966971,0.002251545,0.346843,0.0009639464],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660517,0.01728661,0.0009653778,0.01086305,0.0005965988,0.002126148,0.00002379521,0.0001495279,0.001937176],"genre_scores_gemma":[0.9885356,0.001093315,0.00622442,0.002503668,0.0004437412,0.0002789052,0.00005778241,0.0001123676,0.0007501878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6388355,"threshold_uncertainty_score":0.9998293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814083490546387,"score_gpt":0.3028185721254329,"score_spread":0.284677737219969,"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."}}