{"id":"W2463824702","doi":"10.1016/j.cmet.2016.06.006","title":"Lack of Adipocyte AMPK Exacerbates Insulin Resistance and Hepatic Steatosis through Brown and Beige Adipose Tissue Function","year":2016,"lang":"en","type":"article","venue":"Cell Metabolism","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":323,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Canadian Institutes of Health Research; Hospital for Sick Children; McMaster University","keywords":"AMPK; Insulin resistance; Endocrinology; Internal medicine; Steatosis; White adipose tissue; Biology; Fatty liver; Brown adipose tissue; AMP-activated protein kinase; Adipose tissue; Adipocyte; Type 2 diabetes; Protein kinase A; Insulin; Diabetes mellitus; Medicine; Cell biology; Kinase; Disease","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":[0.0003430777,0.000857057,0.0007220973,0.0006722132,0.0003535687,0.0006885697,0.000308855,0.0005941613,0.005700332],"category_scores_gemma":[0.0002740776,0.0005462226,0.0004586958,0.0003316689,0.001093474,0.0006961381,0.0005872627,0.001936016,0.000760133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000388154,"about_ca_system_score_gemma":0.0003409635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003910185,"about_ca_topic_score_gemma":0.0008646832,"domain_scores_codex":[0.9996516,0.00008487127,0.00004447431,0.0000689782,0.00004664024,0.0001035568],"domain_scores_gemma":[0.9996647,0.00003251954,0.00008008329,0.00005146254,0.00001675087,0.0001544316],"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":[0.00686636,0.0003238229,0.0005818327,0.0001058635,0.00005571408,0.0001393292,0.00003786579,0.0001869971,0.9885561,0.0004785663,0.000211242,0.002456316],"study_design_scores_gemma":[0.0008648506,0.003892901,0.01696951,0.00006749587,0.0002273658,0.0012201,0.0005375959,0.002492724,0.9662551,0.001286575,0.006125873,0.00006002246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938787,0.001240719,0.001754547,0.0007534827,0.0002271955,0.00003326841,0.0004067429,0.0002039555,0.001501417],"genre_scores_gemma":[0.9923944,0.0007037576,0.002049768,0.00030125,0.000046467,0.00007738436,0.0002540236,0.00009816317,0.004074718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005700332,"threshold_uncertainty_score":0.01906949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02416291671259089,"score_gpt":0.2670432720609419,"score_spread":0.242880355348351,"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."}}