{"id":"W3015407380","doi":"10.3390/microorganisms8040527","title":"Role of Gut Microbiota in Neuroendocrine Regulation of Carbohydrate and Lipid Metabolism via the Microbiota-Gut-Brain-Liver Axis","year":2020,"lang":"en","type":"review","venue":"Microorganisms","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"University of South China; Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study; China Scholarship Council; Heart and Stroke Foundation of Canada","keywords":"Gut flora; Enteroendocrine cell; Gut–brain axis; Biology; Gastrointestinal tract; Cholecystokinin; Endocrinology; Internal medicine; Vasoactive intestinal peptide; Enteric nervous system; Hormone; Biochemistry; Neuropeptide; Receptor; Endocrine system; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002110334,0.0005869322,0.001545022,0.0001842487,0.00007709509,0.00002688887,0.0005567971,0.0003375305,0.00004000324],"category_scores_gemma":[0.00004801627,0.0004652433,0.0003618143,0.000457998,0.0002751066,0.000006714488,0.0005010176,0.0004057563,0.00001249172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003849491,"about_ca_system_score_gemma":0.0003251198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001718407,"about_ca_topic_score_gemma":0.00007492257,"domain_scores_codex":[0.9972304,0.0003746838,0.001071682,0.0007786007,0.0001001094,0.0004445918],"domain_scores_gemma":[0.9982678,0.00004899754,0.0007295936,0.0007452955,0.0001049235,0.0001034497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002367822,0.00006186238,0.000005814174,0.002657975,0.00012563,0.000004952863,0.0001142413,5.469473e-7,0.9629144,0.00003644432,0.0009715793,0.03308289],"study_design_scores_gemma":[0.0004105357,0.0001107613,0.0006245694,0.0005379456,0.0002819962,0.0002166339,0.00002273354,0.000001889322,0.1422667,0.000008238579,0.8551735,0.0003445247],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01491123,0.9830429,0.0000242915,0.000305825,0.0001968784,0.001077447,0.000377876,0.00001098102,0.00005258727],"genre_scores_gemma":[0.009923684,0.9878315,0.0004293993,0.000306793,0.0002436343,0.00001714293,0.0008163438,0.0001277341,0.0003037542],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8542019,"threshold_uncertainty_score":0.9997799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00956390721705148,"score_gpt":0.2457271170160501,"score_spread":0.2361632097989986,"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."}}