{"id":"W4296162034","doi":"10.1038/s41598-022-18805-5","title":"Predicting conversion to Alzheimer’s disease in individuals with Mild Cognitive Impairment using clinically transferable features","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; H. Lundbeck A/S; Servier; Helse Vest; Eisai; Genentech; IXICO; Northern California Institute for Research and Education; Trond Mohn stiftelse; Alzheimer's Disease Neuroimaging Initiative; Universitetet i Bergen; F. Hoffmann-La Roche; Pfizer; Biogen; BioClinica; Eli Lilly and Company; U.S. Department of Defense; Meso Scale Diagnostics; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Cognitive impairment; Disease; Alzheimer's disease; Cognition; Medicine; Bioinformatics; Psychiatry; Internal medicine; 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":[0.003027285,0.0005100544,0.0003917808,0.001324803,0.0002830102,0.0009289462,0.0004122444,0.000620198,0.0005127635],"category_scores_gemma":[0.008508201,0.0001230581,0.0004919494,0.0003887446,0.0002722579,0.0004916242,0.0006728758,0.0007677949,0.0002749693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002694308,"about_ca_system_score_gemma":0.000321096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004516652,"about_ca_topic_score_gemma":0.005454027,"domain_scores_codex":[0.9993598,0.0002950082,0.00006083696,0.0001279903,0.0000818913,0.00007453324],"domain_scores_gemma":[0.99755,0.001160563,0.0004170328,0.0003663905,0.0002566832,0.0002492758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006758018,0.0002051391,0.9821398,0.00001109567,0.0001194734,0.0001123005,0.0001286718,0.002013838,0.0006003759,0.0000411139,0.0002016015,0.01375086],"study_design_scores_gemma":[0.0000395457,0.0004725678,0.9668111,0.00001659444,0.00006651939,0.0003168597,0.0002615199,0.03041516,0.0007663345,0.0005989698,0.0002165974,0.00001838127],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991289,0.00006840347,0.0005032811,0.00003167813,0.000006155579,0.00001023054,0.0001184212,0.00001027619,0.0001226465],"genre_scores_gemma":[0.9988611,0.0000256796,0.0005556252,0.000008039843,0.00000571893,0.000006492528,0.0004646996,0.000001486001,0.0000711745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004516652,"threshold_uncertainty_score":0.01601005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03635575423323761,"score_gpt":0.3429133578820006,"score_spread":0.306557603648763,"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."}}