{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000909888,0.0001584609,0.0002008495,0.0003292207,0.0002447912,0.00007207053,0.0002860922,0.00002054975,0.0002419455],"category_scores_gemma":[0.0002525358,0.0001535197,0.00006729706,0.000232244,0.0002674878,0.0002275073,0.0002727548,0.0001165211,0.00003981938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004521942,"about_ca_system_score_gemma":0.0001044189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002576939,"about_ca_topic_score_gemma":0.00003409445,"domain_scores_codex":[0.998325,0.00008493529,0.0002585253,0.0005490467,0.0002794695,0.0005029641],"domain_scores_gemma":[0.9989893,0.0001188022,0.00005856238,0.0005334774,0.00008285531,0.0002169835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007510203,0.0008298704,0.8350215,0.0005572327,0.001154564,0.0004774181,0.001181838,0.000001789584,0.02154045,0.002157671,0.07909114,0.0572355],"study_design_scores_gemma":[0.003628809,0.0001540408,0.9394618,0.00042071,0.0001670333,0.00001599604,0.001538629,0.02533647,0.00008968569,0.001407494,0.02748917,0.0002901614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468095,0.001136921,0.01309064,0.01533514,0.0002031273,0.004232547,0.0002267486,0.0002264087,0.01873896],"genre_scores_gemma":[0.9957814,0.00000326742,0.001541894,0.001026293,0.0003852826,0.0001336607,0.0008011336,0.00003266967,0.0002944485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1044403,"threshold_uncertainty_score":0.6260353,"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."}}