{"id":"W2143534172","doi":"10.2337/db07-1788","title":"Role of Central Nervous System Glucagon-Like Peptide-1 Receptors in Enteric Glucose Sensing","year":2008,"lang":"en","type":"article","venue":"Diabetes","topic":"Regulation of Appetite and Obesity","field":"Neuroscience","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Centre National de la Recherche Scientifique; Fonds De La Recherche Scientifique - FNRS; Canada Research Chairs; Agence Nationale de la Recherche; Canadian Diabetes Association","keywords":"Endocrinology; Internal medicine; Glucose homeostasis; Proopiomelanocortin; Glucagon; Hypothalamus; Receptor; Neuropeptide Y receptor; Biology; Glucagon-like peptide-1; Enteric nervous system; Glycogen; Carbohydrate metabolism; Glucose transporter; Neuropeptide; Glycogen synthase; Diabetes mellitus; Type 2 diabetes; Medicine; Insulin; Insulin resistance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001809346,0.0003716302,0.0002165193,0.0001621928,0.00009561557,0.0002499479,0.0002081006,0.0002270932,0.001607947],"category_scores_gemma":[0.0001563618,0.00007600508,0.0001919173,0.00005748213,0.0002828829,0.0002532259,0.0001964876,0.0003823852,0.0002267089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001956969,"about_ca_system_score_gemma":0.0001529346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002021345,"about_ca_topic_score_gemma":0.0002204365,"domain_scores_codex":[0.9999273,0.00001516492,0.000004797787,0.0000168448,0.00001385317,0.00002214606],"domain_scores_gemma":[0.9998698,0.00001671689,0.00004857422,0.000007698395,0.00001739819,0.00003968477],"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":[0.0008283625,0.00004887953,0.002246056,0.0001910489,0.00001844866,0.0004313108,0.00002531739,0.0001301388,0.9863512,0.0003192308,0.0001592516,0.009250697],"study_design_scores_gemma":[0.000379243,0.004321967,0.2059856,0.0001632587,0.0002461177,0.003577042,0.0003235983,0.003569748,0.7694504,0.001071755,0.01085787,0.00005346259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770812,0.01370749,0.005251098,0.0002985813,0.00008402698,0.00003487726,0.000192051,0.00009414794,0.003256617],"genre_scores_gemma":[0.9912485,0.003740376,0.002621118,0.0001123909,0.0000460083,0.00004470514,0.0001553678,0.00001621248,0.002015455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001607947,"threshold_uncertainty_score":0.00537914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266751444720775,"score_gpt":0.2078098346627623,"score_spread":0.1951423202155546,"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."}}