{"id":"W4294266531","doi":"10.3233/jad-220585","title":"Monitoring Alzheimer’s Disease Progression in Mild Cognitive Impairment Stage Using Machine Learning-Based FDG-PET Classification Methods","year":2022,"lang":"en","type":"article","venue":"Journal of Alzheimer s Disease","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Boniface Hospital; University of Manitoba; Health Sciences Centre","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Genentech; National Institutes of Health; H. Lundbeck A/S; Servier; F. Hoffmann-La Roche; Parkinson Canada; Mitacs; Eisai; Northern California Institute for Research and Education; IXICO; Research Manitoba; Natural Sciences and Engineering Research Council of Canada; Pfizer; Biogen; BioClinica; Alzheimer's Society; 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; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Medicine; Dementia; Cognitive impairment; Cognition; Disease; Prodromal Stage; Clinical Dementia Rating; Neuroimaging; Mini–Mental State Examination; Internal medicine; Audiology; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001080454,0.0004333082,0.0003964285,0.001430452,0.0001440243,0.0004701243,0.00036622,0.0003782643,0.0003695356],"category_scores_gemma":[0.001842422,0.00008060487,0.0003767007,0.0005442952,0.0001448036,0.0002607462,0.000205315,0.0002294004,0.0001347663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004690735,"about_ca_system_score_gemma":0.0002526715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002116535,"about_ca_topic_score_gemma":0.00385216,"domain_scores_codex":[0.9997582,0.00007453223,0.00002756541,0.00006709753,0.00004589631,0.00002672208],"domain_scores_gemma":[0.9993815,0.0002396705,0.0001775047,0.00004478226,0.0001226268,0.00003387103],"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":[0.0008854034,0.0004309683,0.5906534,0.0001541103,0.0003046307,0.0002180027,0.0001294256,0.05094499,0.02075352,0.0004914983,0.001440177,0.333594],"study_design_scores_gemma":[0.00005790351,0.0005962561,0.3632683,0.00003857235,0.0001631625,0.0006569506,0.00008643263,0.615588,0.0164273,0.001516046,0.00153924,0.00006174293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.911577,0.0009703597,0.08495115,0.0001376705,0.00002452381,0.0001094067,0.000712069,0.0006195832,0.0008980961],"genre_scores_gemma":[0.9574813,0.0001268372,0.04157658,0.00003216662,0.00001923238,0.00007121315,0.0004605569,0.000005761422,0.0002266065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002116535,"threshold_uncertainty_score":0.005714059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1028583736551916,"score_gpt":0.4434992250438289,"score_spread":0.3406408513886374,"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."}}