{"id":"W4393119485","doi":"10.1002/hbm.26654","title":"White adipose tissue distribution and amount are associated with increased white matter connectivity","year":2024,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"White matter; Adipose tissue; Connectome; Orbitofrontal cortex; White adipose tissue; Prefrontal cortex; Anterior cingulate cortex; Insula; Psychology; Neuroscience; Nucleus accumbens; Medicine; Endocrinology; Magnetic resonance imaging; Cognition; Central nervous system; Functional connectivity; Radiology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001742045,0.0001415087,0.0001911487,0.00007189167,0.0002022716,0.00007340353,0.0000424755,0.00005232296,0.00008332957],"category_scores_gemma":[0.00005998983,0.0001250613,0.00002672963,0.0002343793,0.00009071627,0.000103789,0.00004140659,0.0002383037,0.0000145199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000106695,"about_ca_system_score_gemma":0.00001715015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001606008,"about_ca_topic_score_gemma":0.00002155563,"domain_scores_codex":[0.9991664,0.00004083434,0.0001419839,0.0003459656,0.0001170957,0.0001876648],"domain_scores_gemma":[0.9994881,0.00009248713,0.000064528,0.0002198014,0.00005341952,0.00008164594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004192343,0.0002137787,0.8435289,0.0005584863,0.0001506231,0.0002978413,0.000722603,0.000008709187,0.07420669,0.005783436,0.07333515,0.001151904],"study_design_scores_gemma":[0.00034612,0.00006999364,0.9759371,0.000852544,0.00005567632,0.00007243862,0.00005320507,0.0005323776,0.0002028425,0.001348071,0.02036552,0.0001640661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9257665,0.0001285712,0.0598752,0.01163167,0.00001833876,0.0006157812,0.0001149544,0.0007256326,0.001123372],"genre_scores_gemma":[0.9968641,0.000003055455,0.0005279063,0.001180276,0.00006393408,0.00007145698,0.0003093,0.00003136738,0.000948621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1324083,"threshold_uncertainty_score":0.509985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03683830063534014,"score_gpt":0.3110238852919262,"score_spread":0.274185584656586,"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."}}