{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005467701,0.0002037574,0.0002575346,0.0005611326,0.0002089201,0.0005686989,0.0001573629,0.0003052881,0.00340505],"category_scores_gemma":[0.002016646,0.0001481402,0.0003066548,0.0004531773,0.0004089526,0.0003712591,0.0002843173,0.0002804585,0.0004287006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008056783,"about_ca_system_score_gemma":0.0001097379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072825,"about_ca_topic_score_gemma":0.001543685,"domain_scores_codex":[0.999762,0.00005665687,0.00001838715,0.00008216925,0.00003953254,0.00004127192],"domain_scores_gemma":[0.9992346,0.0001421957,0.0004494135,0.00005663281,0.00003926268,0.00007793259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002499799,0.00002528717,0.9904087,0.00001835443,0.0001058843,0.0001428069,0.0003669656,0.00001879663,0.001359495,0.0001402517,0.0001893227,0.006974155],"study_design_scores_gemma":[0.000002556035,0.0000462788,0.9991105,0.000009343223,0.00001587426,0.0002652121,0.0001696525,0.00003350992,0.00008332362,0.00009496463,0.0001667756,0.000002049914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980837,0.0006604949,0.0001084594,0.0002359115,0.00001536783,0.000002744948,0.0001608773,0.00000270672,0.000729746],"genre_scores_gemma":[0.999102,0.0002473185,0.00008019109,0.00006677068,0.0000294143,0.000002671107,0.00009717375,0.000003155171,0.0003713917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00340505,"threshold_uncertainty_score":0.0113911,"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."}}