{"id":"W2193411203","doi":"10.3233/jad-150563","title":"Empirically Defining Trajectories of Late-Life Cognitive and Functional Decline","year":2016,"lang":"en","type":"article","venue":"Journal of Alzheimer s Disease","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; F. Hoffmann-La Roche; University of Southern California; Biogen; University of California, San Diego; BioClinica; Novartis Pharmaceuticals Corporation; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb; U.S. Department of Defense; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Cognitive decline; Cognition; Psychology; Cognitive psychology; Neuroscience; Dementia; Medicine; Disease","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":[0.006366037,0.0005723968,0.0003758427,0.001402024,0.000523912,0.001452167,0.000590083,0.0008061423,0.001024233],"category_scores_gemma":[0.02598462,0.0002885819,0.0007577986,0.0008968589,0.0006274762,0.001406837,0.00124929,0.001220351,0.0003027092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232086,"about_ca_system_score_gemma":0.001235283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01237598,"about_ca_topic_score_gemma":0.01197299,"domain_scores_codex":[0.9988663,0.0006354749,0.00006626318,0.0001999803,0.0001045502,0.0001275065],"domain_scores_gemma":[0.9869158,0.008562076,0.001919737,0.0007987352,0.001006737,0.0007969882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002510944,0.0001208634,0.9746482,0.00002065087,0.00008891121,0.00003792976,0.0006480412,0.01235357,0.0001972504,0.001044324,0.0004178687,0.01017119],"study_design_scores_gemma":[0.00004611263,0.0004695739,0.604795,0.00009837585,0.00009916549,0.0002338093,0.002136341,0.3766761,0.000497267,0.01380896,0.001091897,0.00004746718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890695,0.0001026985,0.009362829,0.0002843434,0.000004907807,0.00006042013,0.0006349433,0.00003377318,0.0004465685],"genre_scores_gemma":[0.9927617,0.00005549652,0.005850887,0.00002576578,0.000003060152,0.0000429321,0.001128363,0.000007359499,0.000124334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01237598,"threshold_uncertainty_score":0.03366727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04062680781797,"score_gpt":0.3325080932253088,"score_spread":0.2918812854073388,"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."}}