{"id":"W4395033009","doi":"10.3233/jad-240077","title":"Cognition and Amyloid-β in Older Veterans: Characterization and Longitudinal Outcomes of Data-Derived Phenotypes","year":2024,"lang":"en","type":"article","venue":"Journal of Alzheimer s Disease","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; Servier; Eisai; Northern California Institute for Research and Education; University of California, San Diego; BioClinica; Medpace; Biogen; Novartis Pharmaceuticals Corporation; Pfizer; Bristol-Myers Squibb; Eli Lilly and Company; University of Southern California; Synarc; Alzheimer's Disease Neuroimaging Initiative; U.S. Department of Defense; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association; U.S. Department of Veterans Affairs","keywords":"Phenotype; Longitudinal data; Cognition; Amyloid (mycology); Psychology; Dementia; Gerontology; Medicine; Clinical psychology; Neuroscience; Internal medicine; Biology; Disease; Computer science; Genetics; Pathology; Data mining; Gene","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":[0.001325469,0.0002577495,0.0002199584,0.0005498795,0.0004513778,0.000659459,0.0002385731,0.0002859325,0.0003545558],"category_scores_gemma":[0.003599752,0.0001109556,0.0003162424,0.0006003054,0.0002608561,0.0003401554,0.0005332812,0.0004298915,0.0001023487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003134314,"about_ca_system_score_gemma":0.0002518828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004626037,"about_ca_topic_score_gemma":0.005784051,"domain_scores_codex":[0.9995889,0.0001411788,0.00004496836,0.00008890543,0.00007354931,0.00006260607],"domain_scores_gemma":[0.9983814,0.0002238795,0.0006148185,0.0002925922,0.0002988608,0.0001884284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001224586,0.00002760021,0.9981034,0.000002779805,0.0000456226,0.00002042088,0.0001558042,0.00004321072,0.0003144938,0.00001120522,0.00003868127,0.00111437],"study_design_scores_gemma":[0.000003583583,0.00007923273,0.9992574,0.000002501024,0.00001225082,0.0001115886,0.0001612617,0.0001577245,0.000106383,0.00003746628,0.00006857172,0.000001978741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997707,0.00002562532,0.00005121065,0.00000713893,9.755254e-7,0.000003803982,0.00009020028,9.026558e-7,0.00004946863],"genre_scores_gemma":[0.999471,0.00001313878,0.00008306094,0.000007142647,0.000002384512,0.000007154919,0.0003783757,0.000001237817,0.00003640928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004626037,"threshold_uncertainty_score":0.009198189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04995770926979184,"score_gpt":0.3552414309204603,"score_spread":0.3052837216506684,"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."}}