{"id":"W2953778338","doi":"10.1186/s40708-019-0099-0","title":"Predicting the course of Alzheimer’s progression","year":2019,"lang":"en","type":"article","venue":"Brain Informatics","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Weston Brain Institute; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Eli Lilly and Company; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Dementia; Prodromal Stage; Neuroimaging; Univariate; Stage (stratigraphy); Alzheimer's Disease Neuroimaging Initiative; Disease; Cognition; Categorical variable; Alzheimer's disease; Psychology; Medicine; Multivariate statistics; Internal medicine; Neuroscience; Machine learning; Computer science; Biology","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":[0.0005716123,0.00006509091,0.0001248117,0.00004174327,0.00004201093,0.00001442545,0.00008185918,0.00003458986,0.0002309524],"category_scores_gemma":[0.0001044392,0.00003555096,0.00005308862,0.0001271206,0.00006879965,0.0001147116,0.00007187958,0.0001371512,0.0001080625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007278857,"about_ca_system_score_gemma":0.0001067318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002266512,"about_ca_topic_score_gemma":2.41702e-7,"domain_scores_codex":[0.9990833,0.0000222346,0.0002945218,0.0000375383,0.0003920837,0.0001703092],"domain_scores_gemma":[0.9993688,0.0001153125,0.0001267,0.000201867,0.0001353808,0.00005191576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001164677,0.0002412128,0.8697461,0.0005942323,0.0003173914,0.000002563075,0.006228337,0.000008188011,0.001293442,0.0003984231,0.01325058,0.1078031],"study_design_scores_gemma":[0.005447232,0.002585107,0.841018,0.001353422,0.0003731979,0.0001237853,0.0280274,0.04539469,0.03345128,0.0001911254,0.04177647,0.0002582745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586385,0.0001272264,0.00009410166,0.001189948,0.00009810745,0.0008358995,0.000004704347,0.00002513062,0.03898633],"genre_scores_gemma":[0.9981009,0.00001233765,0.0004260571,0.0006614707,0.00003196831,0.000009288415,0.00001804251,0.000006271981,0.0007336747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1075448,"threshold_uncertainty_score":0.2528767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150067731156962,"score_gpt":0.3492421080460212,"score_spread":0.3277414307344516,"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."}}