{"id":"W3048824820","doi":"10.3389/fdata.2020.00024","title":"Statistical Disease Progression Modeling in Alzheimer Disease","year":2020,"lang":"en","type":"article","venue":"Frontiers in Big Data","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":87,"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; BioClinica; F. Hoffmann-La Roche; University of Southern California; Biogen; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Cognition; Disease; Cognitive decline; Alzheimer's disease; Cognitive test; Psychology; Effects of sleep deprivation on cognitive performance; Medicine; Dementia; Psychiatry; 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":[0.01560102,0.001683308,0.001768719,0.003041355,0.0006249904,0.002161875,0.002715392,0.002024116,0.002560665],"category_scores_gemma":[0.02577133,0.0008990933,0.002456017,0.00297891,0.001677162,0.001577292,0.002154651,0.003790809,0.0006903796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002169427,"about_ca_system_score_gemma":0.003093803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02217906,"about_ca_topic_score_gemma":0.01648745,"domain_scores_codex":[0.9948292,0.003537561,0.0002365146,0.0006952273,0.0004970077,0.0002044877],"domain_scores_gemma":[0.9624875,0.03261248,0.001893832,0.0008714563,0.001675594,0.0004590334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001459457,0.0001260549,0.01458117,0.0004013229,0.0006618829,0.0001819079,0.0002635192,0.8763338,0.0001994445,0.05501737,0.005270422,0.04681711],"study_design_scores_gemma":[0.00002230762,0.00004294165,0.0009111413,0.00004187999,0.00004252057,0.00004026537,0.00002495903,0.9373114,0.00005476075,0.05902742,0.002464232,0.00001623785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02855602,0.008159234,0.9521318,0.004446413,0.0003991027,0.0002445366,0.002713152,0.001412673,0.001936989],"genre_scores_gemma":[0.709444,0.007809593,0.2655856,0.001024077,0.001140553,0.00145127,0.006849839,0.0003253938,0.006369751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02217906,"threshold_uncertainty_score":0.08250707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.163683788139701,"score_gpt":0.3818372073873765,"score_spread":0.2181534192476755,"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."}}