{"id":"W2912509763","doi":"10.1038/s41598-019-38793-3","title":"Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; St Joseph's Health Centre; McGill University; Jewish General Hospital","funders":"National Institute on Aging; Genentech; National Institute of Neurological Disorders and Stroke; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Science Foundation; National Institutes of Health; U.S. Department of Health and Human Services; Foundation for the National Institutes of Health; Alzheimer's Disease Neuroimaging Initiative; National Center for Advancing Translational Sciences; Meso Scale Diagnostics; Alzheimer's Association","keywords":"Neuroimaging; Dementia; Cognition; Medicine; Demographics; Disease; Psychology; Psychological resilience; Bioinformatics; Internal medicine; Neuroscience; Biology","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":[0.003263417,0.000830807,0.0004891668,0.001196349,0.0002568815,0.0008266947,0.0003264417,0.0004285077,0.0006464014],"category_scores_gemma":[0.007519437,0.0001735173,0.0007111172,0.000567459,0.0003871842,0.0006327044,0.0006239738,0.000773039,0.0001988459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004171078,"about_ca_system_score_gemma":0.0008200778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009004123,"about_ca_topic_score_gemma":0.01239748,"domain_scores_codex":[0.9995618,0.0002047864,0.00003067953,0.0001138974,0.00003714167,0.00005160999],"domain_scores_gemma":[0.9983116,0.0008857671,0.0003569817,0.0001996304,0.0001267861,0.0001191602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000418382,0.0001327923,0.9314167,0.00003171878,0.0003389366,0.0001260489,0.0001214032,0.02746746,0.001991546,0.0004019683,0.0003315648,0.0372216],"study_design_scores_gemma":[0.00002098625,0.000428352,0.6744907,0.00006906522,0.0002349787,0.0003599165,0.000301713,0.3148012,0.002312939,0.006170828,0.0007532966,0.00005610579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817915,0.0003628451,0.01629468,0.0002445116,0.00001413188,0.00004302775,0.0007630773,0.00009762751,0.0003886101],"genre_scores_gemma":[0.9950959,0.00009489666,0.004288362,0.00002352163,0.00000837828,0.00001780617,0.0003520637,0.000005286705,0.0001136125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009004123,"threshold_uncertainty_score":0.01790339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02543377373658204,"score_gpt":0.3410184339253527,"score_spread":0.3155846601887707,"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."}}