{"id":"W2986722085","doi":"10.1016/j.jcjd.2019.10.006","title":"Interplay Between Gut Microbiota and Gastrointestinal Peptides: Potential Outcomes on the Regulation of Glucose Control","year":2019,"lang":"en","type":"review","venue":"Canadian Journal of Diabetes","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University; Université Laval; Centre Hospitalier Universitaire Sainte-Justine; Université du Québec à Montréal","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada","keywords":"Ghrelin; Cholecystokinin; Peptide YY; Endocrinology; Internal medicine; Glucose homeostasis; Gut flora; Enteroendocrine cell; Appetite; Medicine; Biology; Insulin; Neuropeptide Y receptor; Hormone; Insulin resistance; Biochemistry; Neuropeptide; Endocrine system; Receptor","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0009064271,0.0008689074,0.00159434,0.001096279,0.0002499603,0.001544495,0.0008854445,0.001548757,0.003127152],"category_scores_gemma":[0.001137647,0.0001994667,0.0003148658,0.001870549,0.0008695559,0.00100881,0.001000197,0.002117639,0.001212228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291858,"about_ca_system_score_gemma":0.002415119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003548022,"about_ca_topic_score_gemma":0.007817053,"domain_scores_codex":[0.9998065,0.00003229999,0.00001951031,0.00003453288,0.00007578524,0.00003137377],"domain_scores_gemma":[0.9994476,0.0002474109,0.00005932688,0.00001332224,0.0001481438,0.00008423651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002683833,0.00005978878,0.0004137293,0.009149489,0.0001300834,0.0002090124,0.00005199133,0.0003737285,0.001994291,0.008477541,0.03775356,0.9411185],"study_design_scores_gemma":[0.00004282493,0.00009823901,0.002378384,0.003736753,0.0001542255,0.0005781148,0.0001162772,0.0001203948,0.0004133765,0.004700616,0.9876283,0.00003246488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006025316,0.998876,0.00005885936,0.0004313987,0.0001994383,9.316479e-7,0.00001169633,0.000002527051,0.0003588657],"genre_scores_gemma":[0.0005588615,0.9985819,0.0001017773,0.0002237949,0.0002520202,0.000002222618,0.00001479623,6.464093e-7,0.0002640308],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003548022,"threshold_uncertainty_score":0.01046139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732728683328174,"score_gpt":0.2798678190672328,"score_spread":0.2625405322339511,"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."}}