{"id":"W4402483255","doi":"10.3389/fnagi.2024.1412735","title":"Association of white matter hyperintensities with cognitive decline and neurodegeneration","year":2024,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Canadian Institutes of Health Research; National Institutes of Health; H. Lundbeck A/S; Government of Jiangsu Province; Nanjing Medical University; National Natural Science Foundation of China; Eisai; Servier; China Postdoctoral Science Foundation; Genentech; IXICO; Jiangsu Provincial Department of Human Resources and Social Security; Northern California Institute for Research and Education; BioClinica; Biogen; Pfizer; Novartis Pharmaceuticals Corporation; University of Southern California; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association","keywords":"Hyperintensity; Neurodegeneration; Cognitive decline; Association (psychology); White matter; Cognition; Neuroscience; Medicine; Psychology; Internal medicine; Disease; Dementia; Magnetic resonance imaging","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002495542,0.00006544807,0.0001126893,0.0002131017,0.00004990588,0.00005211678,0.00003138299,0.00001705011,0.00001019443],"category_scores_gemma":[0.00009216501,0.00005252673,0.00001486171,0.0003245113,0.0001205427,0.0001690042,0.00005283596,0.0001217249,0.000001518867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003051048,"about_ca_system_score_gemma":0.00004820132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007132558,"about_ca_topic_score_gemma":0.000003955938,"domain_scores_codex":[0.9991528,0.00004172202,0.0001102992,0.0002365291,0.0003006592,0.0001580267],"domain_scores_gemma":[0.9997618,0.00003340282,0.00002665669,0.00004802631,0.00009178492,0.00003832364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004863787,0.00002315598,0.9913434,0.00007845132,0.000004584409,0.00004848784,0.0002809386,0.000005232859,0.006297069,0.000004451151,0.0006128451,0.001252775],"study_design_scores_gemma":[0.0003597315,0.000202486,0.9837726,0.000200077,0.00003107131,0.00003187648,0.0002282416,0.009118608,0.005663534,0.00002561886,0.0003139776,0.0000522068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836103,0.0001409698,0.01240683,0.002712239,0.0003046087,0.0001723198,0.000005037898,0.00001934073,0.0006283639],"genre_scores_gemma":[0.9949275,0.00006452431,0.0006121132,0.001070189,0.00002170368,0.000009699539,0.000003184794,0.000007892555,0.003283251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01179472,"threshold_uncertainty_score":0.2141978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114961270660372,"score_gpt":0.2738259888310983,"score_spread":0.2626763761244946,"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."}}