{"id":"W4406553287","doi":"10.1177/09727531241307462","title":"Association Between BMI and Neurocognitive Functions Among Middle-aged Obese Adults: Preliminary Findings Using Machine-learning (ML)-based Approach","year":2025,"lang":"en","type":"article","venue":"Annals of Neurosciences","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neurocognitive; Montreal Cognitive Assessment; Medicine; Body mass index; Obesity; Dementia; Neuropsychology; Cognition; Internal medicine; Gerontology; Cognitive decline; Bayesian multivariate linear regression; Demography; Linear regression; Psychiatry; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00108607,0.0004194657,0.0002388578,0.0008790419,0.0002643124,0.0006377,0.0004070173,0.0003407875,0.001214184],"category_scores_gemma":[0.002686476,0.0001611492,0.0004549075,0.0006636692,0.0002981633,0.0002809809,0.0003663372,0.0005155683,0.0002419141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001778255,"about_ca_system_score_gemma":0.0002892921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007127102,"about_ca_topic_score_gemma":0.009378895,"domain_scores_codex":[0.9997451,0.0001254783,0.00001671637,0.00004265639,0.00003818177,0.00003194856],"domain_scores_gemma":[0.9987728,0.0005709861,0.0002474481,0.0001065167,0.0001374745,0.0001647122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002606404,0.00008520942,0.9937654,0.00001530605,0.00008438127,0.00003846932,0.000109545,0.0001707008,0.0004529696,0.00002425545,0.0000504302,0.004942664],"study_design_scores_gemma":[0.000006843263,0.0002052881,0.99669,0.000006787529,0.00007009099,0.0001099504,0.0001952912,0.002413552,0.0001244725,0.00007975967,0.00009287753,0.000004935207],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982246,0.0002174861,0.0009689726,0.00007201345,0.000007928097,0.00001718511,0.0001934686,0.00001175475,0.0002865127],"genre_scores_gemma":[0.998619,0.00008092546,0.001007469,0.00002591167,0.00001346687,0.00001309908,0.0001294082,0.00000198614,0.0001088088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007127102,"threshold_uncertainty_score":0.01417124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0700474147907052,"score_gpt":0.339160213893627,"score_spread":0.2691127991029219,"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."}}