{"id":"W4323534158","doi":"10.1002/oby.23686","title":"Is adiposity associated with white matter microstructural health and intelligence differently in males and females?","year":2023,"lang":"en","type":"article","venue":"Obesity","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"Canadian Institutes of Health Research","keywords":"White matter; Biobank; Diffusion MRI; Medicine; Obesity; Fractional anisotropy; Abdominal obesity; Cardiovascular health; Physiology; Internal medicine; Demography; Metabolic syndrome; Magnetic resonance imaging; Bioinformatics; Biology","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":[0.00005572987,0.000088976,0.0001672072,0.00005334974,0.00007994685,0.00001434234,0.00003570512,0.00002931528,0.0000131562],"category_scores_gemma":[0.00001105005,0.00007193942,0.0000117293,0.000187094,0.00008672575,0.0000393232,0.00006102048,0.0001371666,0.000006160784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003336988,"about_ca_system_score_gemma":0.00001569706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003523652,"about_ca_topic_score_gemma":0.00005027992,"domain_scores_codex":[0.9994255,0.00001851742,0.0001051572,0.0002231505,0.00006469305,0.0001629606],"domain_scores_gemma":[0.9996796,0.00002688552,0.00004800034,0.0001365092,0.0000186825,0.00009031293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001653666,0.00002258492,0.998261,0.00004552065,0.000004532495,0.000007144736,0.0002257588,1.923026e-7,0.0003779165,0.0000484544,0.0003552358,0.0006351176],"study_design_scores_gemma":[0.0001476948,0.00006861879,0.9977856,0.0001237285,0.000008033827,0.00003194904,0.00003974868,0.0001377449,0.0008764332,0.0006244751,0.00008637783,0.00006955959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936723,0.00008865066,0.000412806,0.005401914,0.00000642031,0.0002442873,0.00002333269,0.00009665883,0.00005365072],"genre_scores_gemma":[0.9967074,0.000166419,0.001120953,0.001498787,0.000006964169,0.000009535186,0.00002919072,0.00001020204,0.0004505216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003903127,"threshold_uncertainty_score":0.2933604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06887097637335537,"score_gpt":0.347940609240043,"score_spread":0.2790696328666876,"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."}}