{"id":"W4406334920","doi":"10.1177/25424823241311838","title":"Alzheimer's disease classification by supervised and intelligent techniques","year":2025,"lang":"en","type":"article","venue":"Journal of Alzheimer s Disease Reports","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Disease; Artificial intelligence; Computer science; Machine learning; Medicine; Pathology","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":[0.002292177,0.001018885,0.0008723417,0.003358886,0.0005392236,0.001305381,0.001025023,0.001130103,0.001255407],"category_scores_gemma":[0.005480912,0.0002851523,0.001289065,0.001308024,0.0004924714,0.0009854588,0.0005969927,0.0008745152,0.0006893083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008848744,"about_ca_system_score_gemma":0.001365911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003564629,"about_ca_topic_score_gemma":0.004229944,"domain_scores_codex":[0.998814,0.0003403399,0.0001553885,0.0002958234,0.0002805335,0.0001139537],"domain_scores_gemma":[0.9971963,0.001274815,0.0003410611,0.0002662199,0.000845707,0.00007594621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004826075,0.0007325933,0.03175545,0.000248059,0.0004682395,0.0002045218,0.0002172436,0.1652531,0.005723433,0.003001604,0.005486811,0.7864263],"study_design_scores_gemma":[0.00001997972,0.00008696142,0.003639766,0.00003658639,0.00005470239,0.0001186025,0.00003779517,0.9883057,0.002425811,0.004344484,0.000914664,0.00001506163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2021458,0.002081346,0.784865,0.001000127,0.0001937468,0.0004855916,0.0009360211,0.002864474,0.005427946],"genre_scores_gemma":[0.7423308,0.0004989074,0.2533801,0.0002413938,0.0002408133,0.0002565537,0.001282284,0.0000658448,0.001703362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003564629,"threshold_uncertainty_score":0.01212233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02942606350416151,"score_gpt":0.3444315311873494,"score_spread":0.3150054676831879,"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."}}