{"id":"W4408952761","doi":"10.1093/braincomms/fcaf121","title":"Stratifying risk of Alzheimer’s disease in healthy middle-aged individuals with machine learning","year":2025,"lang":"en","type":"article","venue":"Brain Communications","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Janssen Alzheimer Immunotherapy Research And Development; National Institute on Aging; National Science Foundation of Sri Lanka; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; University of Southern California; AbbVie Canada; Alzheimer's Association; Bristol-Myers Squibb Canada; National Institutes of Health; Genentech; Takeda Pharmaceutical Company; IXICO; National Institute of General Medical Sciences; H. Lundbeck A/S; Servier; Northern California Institute for Research and Education; DoD Alzheimer's Disease Neuroimaging Initiative; BioClinica; Biogen; Pfizer; Novartis Pharmaceuticals Corporation; Roche; Eisai Canada; Chan Zuckerberg Initiative; Fujirebio Europe; Alzheimer's Drug Discovery Foundation; Merck; Eli Lilly and Company; GE Healthcare","keywords":"Disease; Medicine; Gerontology; Alzheimer's disease; Psychology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009829309,0.0003765011,0.0004373742,0.001311991,0.0003888204,0.0005442356,0.0002866676,0.0005263682,0.001018938],"category_scores_gemma":[0.001787476,0.0001359274,0.0003766143,0.0005471558,0.0001843979,0.0003779821,0.0003895689,0.0003013998,0.0002746858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002645694,"about_ca_system_score_gemma":0.0001789629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004133026,"about_ca_topic_score_gemma":0.004900713,"domain_scores_codex":[0.999604,0.0001327521,0.00003970102,0.00009480898,0.00005961489,0.00006910918],"domain_scores_gemma":[0.9994501,0.0001452108,0.0001528567,0.00005937792,0.00007619253,0.0001161463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008729955,0.0001039576,0.9912158,0.00001075182,0.00008317202,0.00007463608,0.000044325,0.000163357,0.00101287,0.00004204695,0.0002617282,0.006114299],"study_design_scores_gemma":[0.00002270041,0.0002871333,0.9954284,0.00001088778,0.00006548018,0.0001180897,0.00008908812,0.003097506,0.0003418466,0.000220528,0.0003109532,0.00000737658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986674,0.0003137303,0.0003272505,0.00009210714,0.00001556787,0.000009257268,0.0001668088,0.000007094795,0.0004008577],"genre_scores_gemma":[0.9992679,0.00005740655,0.0003114593,0.00004148168,0.00001535742,0.00000448026,0.0001473434,0.000001114626,0.0001534867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004133026,"threshold_uncertainty_score":0.008217931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06921863862980147,"score_gpt":0.3795579700374144,"score_spread":0.3103393314076129,"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."}}