{"id":"W3004538133","doi":"10.1007/s00125-020-05104-9","title":"Neuronal control of peripheral nutrient partitioning","year":2020,"lang":"en","type":"review","venue":"Diabetologia","topic":"Regulation of Appetite and Obesity","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Maladaptation; Nutrient; Nutrient sensing; Biology; Metabolic control analysis; Neuroscience; Diabetes mellitus; Endocrinology; Cell biology; Ecology","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":[0.000370675,0.001127601,0.001203941,0.001115169,0.0002343699,0.001357165,0.001080504,0.001237644,0.002971575],"category_scores_gemma":[0.000362816,0.0002455057,0.0003079661,0.001753048,0.0007856771,0.001243636,0.0008825576,0.00175305,0.001915914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009468145,"about_ca_system_score_gemma":0.0009575383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00135619,"about_ca_topic_score_gemma":0.002715975,"domain_scores_codex":[0.9999201,0.00001145786,0.000009245309,0.00001728533,0.0000272279,0.00001463808],"domain_scores_gemma":[0.9998922,0.00003102908,0.00001907359,0.000004820165,0.00003138616,0.00002142609],"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":[0.0001698177,0.00006101292,0.0002021277,0.01214424,0.00009846268,0.0002895134,0.00005241907,0.0008699571,0.005347777,0.009807929,0.03318967,0.9377671],"study_design_scores_gemma":[0.00003122582,0.00008291804,0.001135331,0.0025413,0.0001235189,0.000864391,0.00008227269,0.0002597178,0.001158339,0.007824983,0.9858668,0.00002916221],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001401113,0.9974023,0.0003018173,0.0003098966,0.0003130419,0.000003386104,0.0000217642,0.00001096743,0.001496783],"genre_scores_gemma":[0.0008196789,0.9979137,0.0001685006,0.0001336027,0.0002179849,0.000004785103,0.00002877803,0.000001165379,0.000711839],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002971575,"threshold_uncertainty_score":0.009940982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04970821796657191,"score_gpt":0.3014129605491155,"score_spread":0.2517047425825436,"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."}}