{"id":"W4312612315","doi":"10.52547/nl.1.1.21","title":"Diffusion tensor imaging (DTI) and plasma p-tau 181 in Alzheimer’s disease","year":2022,"lang":"en","type":"article","venue":"Neurology Letters","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; BioClinica; F. Hoffmann-La Roche; University of Southern California; Biogen; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Biomarker; White matter; Diffusion MRI; Disease; Internal medicine; Alzheimer's disease; Medicine; Pathogenesis; Tau protein; Psychology; Oncology; Neuroscience; Pathology; Magnetic resonance imaging; Biology; Biochemistry; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005475112,0.0001077136,0.0001400208,0.0001418232,0.0001436371,0.00000530296,0.00008571137,0.00001316657,0.00003492891],"category_scores_gemma":[0.00002286206,0.0001116908,0.00003301024,0.0001356126,0.0001167505,0.00003697458,0.0001854775,0.0004347517,0.000002944096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001345827,"about_ca_system_score_gemma":0.00001188585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002055223,"about_ca_topic_score_gemma":0.000001237853,"domain_scores_codex":[0.9991051,0.00005998115,0.0001417258,0.0003672586,0.0001083201,0.0002176446],"domain_scores_gemma":[0.9995222,0.00006657085,0.0000460846,0.0002644556,0.000006715723,0.00009394188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000465772,0.0001761845,0.9459732,0.000009923187,0.00000701437,0.001459716,0.00007170788,0.0001608605,0.03664427,0.0003619317,0.007270426,0.007399],"study_design_scores_gemma":[0.001520974,0.0001377488,0.9132003,0.000006426632,0.00008354407,0.0006150519,0.00001207957,0.008093247,0.0001776188,0.0004120176,0.07556237,0.0001786173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8478202,0.0001122677,0.000168413,0.1513278,0.00005537536,0.0003037197,0.00001171236,0.0001319733,0.0000685247],"genre_scores_gemma":[0.9272997,0.00003088102,0.000492627,0.07191749,0.0000361116,0.00016621,0.00001976836,0.00002502007,0.00001214512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07947958,"threshold_uncertainty_score":0.4554618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03587092914053536,"score_gpt":0.3040637019575926,"score_spread":0.2681927728170572,"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."}}