{"id":"W2886018305","doi":"10.1038/s41598-018-30883-y","title":"Unfavourable gender effect of high body mass index on brain metabolism and connectivity","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Eli Lilly and Company; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Ministero della Salute; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Body mass index; Index (typography); Bioinformatics; Computational biology; Medicine; Physiology; Biology; Computer science; Internal medicine; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000497589,0.0002461268,0.0002799866,0.000282126,0.0001760795,0.0003600694,0.0001276593,0.0001764819,0.003218134],"category_scores_gemma":[0.001548368,0.00007675397,0.0002279283,0.0002113829,0.0002206001,0.0002038213,0.0002249041,0.0002117838,0.0002405518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000685937,"about_ca_system_score_gemma":0.0001087206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005237959,"about_ca_topic_score_gemma":0.0009913717,"domain_scores_codex":[0.9997615,0.00007479187,0.00001932102,0.00006507966,0.00003605149,0.00004335439],"domain_scores_gemma":[0.9993827,0.0002548413,0.0001662353,0.00008074451,0.00003784585,0.00007761688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002493572,0.00008548536,0.9590402,0.00005656556,0.0003370513,0.0004748394,0.000283069,0.0001393525,0.01916843,0.0003015988,0.0003406494,0.01727907],"study_design_scores_gemma":[0.000006299312,0.0001834962,0.9984496,0.000004431595,0.00003805034,0.0002515364,0.0000677362,0.0001472815,0.0004683723,0.0001882209,0.0001927217,0.000002282761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997618,0.0005640771,0.0005035817,0.00006546563,0.00002354875,0.000005580755,0.0002419487,0.000005001221,0.0009727234],"genre_scores_gemma":[0.9994512,0.0000686593,0.0001367971,0.00001895011,0.00001625173,0.000004610633,0.00008474856,0.00000235427,0.0002165063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003218134,"threshold_uncertainty_score":0.01076579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089055697431519,"score_gpt":0.2615781798841179,"score_spread":0.2506876229098027,"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."}}