{"id":"W2794971039","doi":"10.1002/hbm.24401","title":"Data‐driven approaches for tau‐PET imaging biomarkers in Alzheimer's disease","year":2018,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal; McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; University of California, San Diego; National Institutes of Health; IXICO; H. Lundbeck A/S; Skånes universitetssjukhus; Servier; Pfizer; BioClinica; Biogen; Alzheimer Nederland; Hjärnfonden; Vetenskapsrådet; Eisai; Lunds Universitet; Northern California Institute for Research and Education; University of Southern California; U.S. Department of Defense; BrightFocus Foundation; Eli Lilly and Company; Bristol-Myers Squibb; Genentech; Marcus och Amalia Wallenbergs minnesfond; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Australian Government; Novartis Pharmaceuticals Corporation; Alzheimer's Association","keywords":"Positron emission tomography; Dementia; Neuroimaging; Cognition; Alzheimer's disease; Psychology; Cluster analysis; Demographics; Pattern recognition (psychology); Pathology; Nuclear medicine; Neuroscience; Artificial intelligence; Medicine; Disease; Computer science; Cognitive psychology","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":[0.0167061,0.001717503,0.00185161,0.003663668,0.0009154293,0.001969907,0.003469179,0.001601279,0.001334868],"category_scores_gemma":[0.0350657,0.001035638,0.004013153,0.002390924,0.001096735,0.001025406,0.002496888,0.002355208,0.0007026417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698389,"about_ca_system_score_gemma":0.002598993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005165057,"about_ca_topic_score_gemma":0.005417067,"domain_scores_codex":[0.9926134,0.004615211,0.0004578769,0.001257147,0.0008742468,0.0001819958],"domain_scores_gemma":[0.9825614,0.01227575,0.0008339728,0.001611575,0.002470082,0.0002473048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001953195,0.001115896,0.06168137,0.00115949,0.004412835,0.0009861976,0.00134293,0.4698868,0.02230961,0.02419085,0.006278474,0.4046823],"study_design_scores_gemma":[0.0000769539,0.0001361262,0.006846152,0.0000412865,0.0001417134,0.0001000057,0.0001286849,0.9615278,0.003508077,0.02518505,0.002246911,0.00006123253],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02320359,0.0002364839,0.9738476,0.0002869912,0.00003500048,0.0003972367,0.0006995604,0.001063673,0.0002299363],"genre_scores_gemma":[0.2612241,0.0001537611,0.7317531,0.0001951672,0.00006738293,0.001934103,0.003515509,0.0004736485,0.0006831959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0167061,"threshold_uncertainty_score":0.08835131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1481666625216257,"score_gpt":0.3710991148927201,"score_spread":0.2229324523710944,"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."}}