{"id":"W3005937372","doi":"10.1002/alz.12032","title":"Predicting sporadic Alzheimer's disease progression via inherited Alzheimer's disease‐informed machine‐learning","year":2020,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Genentech; National Institutes of Health; UK Dementia Research Institute; Fleni; IXICO; Deutsches Zentrum für Neurodegenerative Erkrankungen; H. Lundbeck A/S; Servier; Eisai; Alzheimer Forschung Initiative; Korea Health Industry Development Institute; National Institute on Aging; National Institute for Health and Care Research; Japan Agency for Medical Research and Development; BioClinica; Biogen; Pfizer; Novartis Pharmaceuticals Corporation; F. Hoffmann-La Roche; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; University College London Hospitals NHS Foundation Trust; European Commission; Medical Research Council; Meso Scale Diagnostics; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Biomarker; Cognitive decline; Magnetic resonance imaging; Disease; Positron emission tomography; Cognition; Alzheimer's disease; Neuroimaging; Alzheimer's Disease Neuroimaging Initiative; Medicine; Sample size determination; Oncology; Psychology; Internal medicine; Psychiatry; Dementia; Nuclear medicine; Biology; Radiology; Statistics","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":[0.0107397,0.0007050175,0.0006589596,0.000455557,0.000183735,0.0005752293,0.0005326198,0.0005050241,0.001020404],"category_scores_gemma":[0.01981424,0.0002052897,0.0006198563,0.0002409443,0.0004135987,0.0005007156,0.0005551166,0.0006315067,0.0001418236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005355192,"about_ca_system_score_gemma":0.001093213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00319691,"about_ca_topic_score_gemma":0.002923439,"domain_scores_codex":[0.9982682,0.001202856,0.00007298214,0.0002541089,0.0001326775,0.00006913344],"domain_scores_gemma":[0.9903623,0.007654641,0.000760179,0.0006235074,0.0004301966,0.0001692082],"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":[0.003445821,0.001002806,0.4663376,0.0002102358,0.001437333,0.0002618044,0.0002235627,0.4145152,0.004135077,0.001121697,0.0008230295,0.1064858],"study_design_scores_gemma":[0.0002878316,0.001822028,0.0983486,0.00004631088,0.0003863252,0.0002276562,0.00004151427,0.8879392,0.003377138,0.006841434,0.0006444642,0.00003755169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468104,0.0004067194,0.05138878,0.0002912426,0.00001935689,0.00009030598,0.0002758863,0.0001669664,0.0005504835],"genre_scores_gemma":[0.9911104,0.00006959838,0.008392854,0.00003972345,0.00001039861,0.00004117858,0.0001717465,0.000004984734,0.0001591891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0107397,"threshold_uncertainty_score":0.05679762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03424280626094252,"score_gpt":0.3159760158740485,"score_spread":0.281733209613106,"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."}}