{"id":"W2748718297","doi":"10.1111/jne.12528","title":"The impact of ageing, fasting and high‐fat diet on central and peripheral glucose tolerance and glucose‐sensing neural networks in the arcuate nucleus","year":2017,"lang":"en","type":"article","venue":"Journal of Neuroendocrinology","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"National Health and Medical Research Council; Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research","keywords":"Arcuate nucleus; Internal medicine; Endocrinology; Ageing; Peripheral; Nucleus; Central nervous system; Biology; Medicine; Neuroscience","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":[],"consensus_categories":[],"category_scores_codex":[0.0001037057,0.0001702096,0.0004612159,0.00006298631,0.0003074165,0.00008369882,0.0001576345,0.00003435714,0.000002372027],"category_scores_gemma":[0.000311879,0.00009146333,0.0000793475,0.00003548887,0.0003977447,0.0001337412,0.00008870656,0.0006594654,9.947146e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001571825,"about_ca_system_score_gemma":0.0000206044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001656783,"about_ca_topic_score_gemma":0.00003750408,"domain_scores_codex":[0.9987044,0.0001789946,0.0003806497,0.0001568526,0.0001389758,0.0004401434],"domain_scores_gemma":[0.9988362,0.000256472,0.0004771295,0.0002547388,0.00006038045,0.0001150633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.009131647,0.0002583522,0.2132189,0.00008806311,0.0003712139,0.01867944,0.003163508,0.00313289,0.02590924,0.0008689954,0.000555727,0.724622],"study_design_scores_gemma":[0.002513501,0.001896828,0.9757094,0.00008906009,0.00009081046,0.007989878,0.0001131431,0.01065661,0.0002625176,0.0001423131,0.0004606011,0.00007538165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904886,0.005468149,0.00002154093,0.003440907,0.0003548532,0.0001438753,0.000001540892,0.000004008676,0.00007647088],"genre_scores_gemma":[0.9936479,0.005487998,0.00005531767,0.0003195447,0.0004499375,4.288082e-7,2.780374e-7,0.00001569158,0.00002284671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7624905,"threshold_uncertainty_score":0.3729766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201081585054481,"score_gpt":0.2978639601268202,"score_spread":0.2758531442762754,"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."}}