{"id":"W2892167911","doi":"10.3390/ijms19092826","title":"AMPK Activation Reduces Hepatic Lipid Content by Increasing Fat Oxidation In Vivo","year":2018,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Société Francophone du Diabète; Université Paris Descartes; Centre National de la Recherche Scientifique; Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche; University of Alberta","keywords":"AMPK; Lipogenesis; Beta oxidation; Acetyl-CoA carboxylase; Endocrinology; Internal medicine; Chemistry; Lipid metabolism; Lipid oxidation; AMP-activated protein kinase; Protein kinase A; Adipose tissue; Triglyceride; In vivo; Metabolism; Pyruvate carboxylase; Phosphorylation; Biochemistry; Biology; Cholesterol; Medicine; Enzyme; Antioxidant","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006419055,0.00008633506,0.0001074704,0.0001468613,0.00004770827,0.0000857478,0.0004155325,0.00005122313,0.00004316383],"category_scores_gemma":[0.0003095982,0.0000738006,0.00006321424,0.0001257636,0.0001885081,0.00004167454,0.00004763534,0.00006047134,0.000001914455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003834118,"about_ca_system_score_gemma":0.0001049562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006525769,"about_ca_topic_score_gemma":0.00001765024,"domain_scores_codex":[0.9987887,0.0001090532,0.0003134789,0.0001680963,0.000489256,0.0001314109],"domain_scores_gemma":[0.9991353,0.00001774198,0.0003071042,0.00006824908,0.0004227057,0.00004889753],"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":[0.00006930965,0.00003668089,0.001555313,0.000001262243,0.00003070463,0.00000196347,0.00006579387,0.00003798203,0.9735966,0.00007045431,0.0004859931,0.02404793],"study_design_scores_gemma":[0.0003883539,0.0002108341,0.0008763091,0.00005839465,0.000006453702,0.00001725446,0.0001319203,0.00008666521,0.9829085,0.0001805965,0.01504832,0.00008637172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895399,0.006277423,0.002817181,0.0002247623,0.0007196215,0.00005079825,0.000003640012,0.000002013247,0.0003647113],"genre_scores_gemma":[0.9957004,0.002089232,0.0009970069,0.0006124708,0.0005635223,0.000002587867,0.000005351614,0.000005725949,0.00002368605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02396156,"threshold_uncertainty_score":0.3009501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887184785769228,"score_gpt":0.2871719571156185,"score_spread":0.2683001092579262,"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."}}