{"id":"W4400019154","doi":"10.14283/jpad.2024.122","title":"Amyloid and Tau Prediction of Cognitive and Functional Decline in Unimpaired Older Individuals: Longitudinal Data from the A4 and LEARN Studies","year":2024,"lang":"en","type":"article","venue":"The Journal of Prevention of Alzheimer s Disease","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Avid Radiopharmaceuticals; National Institutes of Health; GHR Foundation; National Institute on Aging; Foundation for Neurologic Diseases; Eli Lilly and Company; Eisai; Alzheimer's Association; American Heart Association; Brigham and Women's Hospital","keywords":"Cognition; Cognitive decline; Psychology; Longitudinal data; Amyloid (mycology); Longitudinal study; Neuroscience; Gerontology; Cognitive psychology; Dementia; Medicine; Disease; Internal medicine; Computer science; Pathology; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001906403,0.00009618765,0.0002234836,0.0001319986,0.00006727099,0.00002291684,0.00007307623,0.00002440444,0.0001102772],"category_scores_gemma":[0.0004382953,0.00005421064,0.00004850698,0.0001486851,0.000342091,0.0002869768,0.0002481452,0.000231821,6.767277e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007945979,"about_ca_system_score_gemma":0.0001482483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000022037,"about_ca_topic_score_gemma":0.00001723655,"domain_scores_codex":[0.9985322,0.0003665361,0.0004095051,0.0001436645,0.0004525325,0.00009558989],"domain_scores_gemma":[0.9986636,0.00068845,0.0001789636,0.0001215281,0.0002461753,0.0001012914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003213047,0.0007749583,0.9460964,0.0002883338,0.005985984,0.0000475553,0.002114169,0.000004441675,0.0007316786,0.00004246748,0.002135766,0.03856518],"study_design_scores_gemma":[0.002278323,0.0005381243,0.9856457,0.001679524,0.004543755,0.00004320918,0.003277845,0.0004080364,0.0002099394,0.00128941,0.00004624069,0.00003992474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9074275,0.08943154,0.0002867741,0.002203929,0.00006350192,0.0003257059,0.0002448273,0.00000367338,0.00001248177],"genre_scores_gemma":[0.9941643,0.005518015,0.00003353683,0.00006624154,0.0001051579,0.000004177492,0.00005969609,0.000007581838,0.00004127706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08673675,"threshold_uncertainty_score":0.2210646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1266549090587579,"score_gpt":0.388417319586383,"score_spread":0.2617624105276251,"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."}}