{"id":"W3159836411","doi":"10.1016/j.jcmgh.2021.04.017","title":"Fasting Hormones Synergistically Induce Amino Acid Catabolism Genes to Promote Gluconeogenesis","year":2021,"lang":"en","type":"article","venue":"Cellular and Molecular Gastroenterology and Hepatology","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Azrieli Foundation; Israel Science Foundation; Abisch-Frenkel-Stiftung; International Development Research Centre","keywords":"Catabolism; Glucagon; Endocrinology; Internal medicine; CREB; Biology; Gluconeogenesis; Chromatin immunoprecipitation; Glucose homeostasis; Hormone; Corticosterone; Insulin; Gene expression; Biochemistry; Gene; Transcription factor; Metabolism; Insulin resistance; Medicine; Promoter","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":[0.0001111305,0.0004044185,0.0001976407,0.0002206941,0.000169366,0.000220583,0.0001107713,0.0001157451,0.00265463],"category_scores_gemma":[0.00009944911,0.0001498484,0.0003704895,0.0001164134,0.0002552643,0.0001139769,0.0002928109,0.000339618,0.000333749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002663415,"about_ca_system_score_gemma":0.0001658189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004045664,"about_ca_topic_score_gemma":0.00113415,"domain_scores_codex":[0.999843,0.00001845133,0.00001007183,0.00005788715,0.00002764758,0.00004282994],"domain_scores_gemma":[0.9998432,0.00003147751,0.00003930804,0.00001666999,0.00002181625,0.00004738968],"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":[0.0001901957,0.00001083456,0.001090608,0.0000430993,0.000005663905,0.00007248222,0.00001782688,0.00001708722,0.9970938,0.0000428462,0.00006680994,0.001348727],"study_design_scores_gemma":[0.00004630258,0.0008921623,0.1604494,0.00004682815,0.00007222267,0.0006961041,0.0002194621,0.0005577886,0.8292984,0.0002446488,0.00745561,0.00002105149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887158,0.003513462,0.003812455,0.0001876369,0.0001227006,0.0000385761,0.0007833313,0.0001868056,0.002639259],"genre_scores_gemma":[0.9921028,0.0009219521,0.002933363,0.0001734211,0.00004948547,0.00005980381,0.0009281155,0.00003691158,0.002794207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00265463,"threshold_uncertainty_score":0.008880675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007363263246486751,"score_gpt":0.2183108710809025,"score_spread":0.2109476078344158,"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."}}