{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002322362,0.0001177499,0.0001952883,0.0001245751,0.00002859382,0.00002853191,0.0002757953,0.00002948495,0.00008046607],"category_scores_gemma":[0.0005284657,0.000101622,0.00002062066,0.0002598647,0.0000708677,0.0001687785,0.0004068656,0.0002432123,0.00002703094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003124246,"about_ca_system_score_gemma":0.0002565582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001389296,"about_ca_topic_score_gemma":0.000002970145,"domain_scores_codex":[0.9983672,0.00009106367,0.0002303425,0.0005064162,0.0004691671,0.0003357867],"domain_scores_gemma":[0.998786,0.00001768378,0.00001969002,0.0004460545,0.00003129771,0.0006992202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002081554,0.0003456195,0.7901461,0.00009533382,0.00003187437,0.001125515,0.00004872304,0.00001887109,0.000009218727,0.00001346433,0.02982455,0.1762592],"study_design_scores_gemma":[0.00254941,0.0001036857,0.2646737,0.0002758618,0.0001775046,6.178648e-7,0.000165642,0.7249762,0.000009078984,0.0004391353,0.006466357,0.0001627609],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3262361,0.02041549,0.6015165,0.04103782,0.001244793,0.004390984,0.00359906,0.0001855063,0.001373747],"genre_scores_gemma":[0.9886285,0.0002139998,0.007302217,0.0007759893,0.0001726647,0.00004537771,0.002814911,0.00001905288,0.00002726755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7249573,"threshold_uncertainty_score":0.4144024,"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."}}