{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002263169,0.0005270409,0.0004544707,0.0004006313,0.0001620769,0.0004011811,0.0002415916,0.000301232,0.002122801],"category_scores_gemma":[0.0001474488,0.0002130604,0.0002986367,0.0002424556,0.000420671,0.0003004112,0.0002333287,0.0009380991,0.0004177998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000267438,"about_ca_system_score_gemma":0.0002796116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002635537,"about_ca_topic_score_gemma":0.0003642788,"domain_scores_codex":[0.9998047,0.00003835291,0.00002530922,0.00005151983,0.0000362013,0.00004394454],"domain_scores_gemma":[0.9998447,0.00002257166,0.00004948121,0.00003155519,0.00001242156,0.00003929224],"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":[0.0009991509,0.0001492981,0.0001106064,0.00004573288,0.00001014904,0.00002237052,0.00001094415,0.00007708021,0.9963304,0.0001627123,0.000069504,0.002012095],"study_design_scores_gemma":[0.0000923189,0.001120885,0.0009705096,0.000006930874,0.00002846709,0.00007741515,0.00001661752,0.0004880231,0.9955028,0.0001062618,0.001585483,0.000004338604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856742,0.002802355,0.00763783,0.0004810079,0.0002582721,0.0000699569,0.0005261286,0.0003150417,0.002235114],"genre_scores_gemma":[0.9867808,0.002300981,0.004959399,0.0002045619,0.00007122687,0.0001053181,0.0007796194,0.000105689,0.004692508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002122801,"threshold_uncertainty_score":0.007101417,"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."}}