{"id":"W2972297449","doi":"10.1016/j.jalz.2019.06.4948","title":"MCI‐to‐normal reversion using neuropsychological criteria in the Alzheimer's Disease Neuroimaging Initiative","year":2019,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":64,"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; Servier; Eisai; Northern California Institute for Research and Education; Biogen; BioClinica; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Pfizer; Bristol-Myers Squibb; Eli Lilly and Company; National Institute on Aging; Alzheimer's Association; University of Southern California; H. Lundbeck A/S; U.S. Department of Veterans Affairs","keywords":"Reversion; Neuropsychology; Dementia; Biomarker; Disease; Neuroimaging; Mean reversion; Alzheimer's disease; Psychology; Medicine; Internal medicine; Neuropsychological test; Cognition; Psychiatry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01035128,0.0006009489,0.0009960092,0.001857234,0.000256288,0.001106119,0.0008558069,0.0003771395,0.0006072376],"category_scores_gemma":[0.01242677,0.0002113603,0.001515662,0.001269398,0.0003913668,0.0005165568,0.000641565,0.0005449243,0.0001038037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005238873,"about_ca_system_score_gemma":0.0006004626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005676708,"about_ca_topic_score_gemma":0.01115225,"domain_scores_codex":[0.9968275,0.001488922,0.0004908297,0.0005103709,0.0005978752,0.0000845785],"domain_scores_gemma":[0.9936149,0.001797667,0.00285798,0.0005943424,0.0009162447,0.0002188058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002423867,0.0001119717,0.9437329,0.001434649,0.00540983,0.0001057247,0.0002617423,0.0005855976,0.0007497795,0.0003109509,0.001472495,0.04340038],"study_design_scores_gemma":[0.0001937874,0.0006677616,0.9887984,0.0006525752,0.003544853,0.0003985807,0.0001832859,0.001347761,0.001059329,0.0008101304,0.002304916,0.00003856078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9512324,0.03679799,0.002910533,0.000548915,0.000166879,0.0004978231,0.002996277,0.0001086523,0.004740622],"genre_scores_gemma":[0.9938006,0.001998469,0.002369121,0.0001229031,0.00005866683,0.0001747254,0.001243762,0.000008123621,0.0002236405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01035128,"threshold_uncertainty_score":0.05474341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.069799650437464,"score_gpt":0.3678568777895405,"score_spread":0.2980572273520765,"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."}}