{"id":"W3203947995","doi":"10.1002/ana.26233","title":"Tau‐Atrophy Variability Reveals Phenotypic Heterogeneity in Alzheimer's Disease","year":2021,"lang":"en","type":"article","venue":"Annals of Neurology","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute on Aging; Canadian Institutes of Health Research; GE Healthcare; Takeda Pharmaceutical Company; Johnson and Johnson; National Institutes of Health; National Institute of Neurological Disorders and Stroke; Northern California Institute for Research and Education; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; University of Southern California; Eli Lilly and Company; Foundation for the National Institutes of Health","keywords":"Neurodegeneration; Atrophy; Cohort; Alzheimer's disease; Neuroscience; Hyperintensity; White matter; Psychology; Pittsburgh compound B; Disease; Pathology; Medicine; Magnetic resonance imaging","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":[0.001166052,0.0002998993,0.0003679314,0.0007790467,0.0002201785,0.0004744292,0.0002596635,0.0003011088,0.0005091284],"category_scores_gemma":[0.002656461,0.0001215454,0.0002207012,0.0004492516,0.0003580376,0.0002570204,0.0005041254,0.0002549546,0.0001132279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001540478,"about_ca_system_score_gemma":0.0000955596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001260169,"about_ca_topic_score_gemma":0.001511475,"domain_scores_codex":[0.9996056,0.0001019506,0.00004496663,0.0001432845,0.00007800764,0.0000262015],"domain_scores_gemma":[0.9987991,0.0002921401,0.0005101798,0.0002232741,0.0001078038,0.00006747534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006649689,0.00003295987,0.9680151,0.00002708851,0.0002540534,0.0002260604,0.0003532708,0.001192376,0.02157493,0.0001118032,0.0001167524,0.007430637],"study_design_scores_gemma":[0.000003472013,0.0001088273,0.9964227,0.000003471351,0.00002908845,0.0004914353,0.00009054637,0.001482605,0.001089027,0.000190884,0.0000828637,0.00000508321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991975,0.0001077258,0.0004997462,0.000006715946,0.00000101295,0.000001968179,0.00008071168,0.000008379359,0.00009615402],"genre_scores_gemma":[0.9996699,0.00001746424,0.0001748707,0.00000381665,0.000001719136,0.00000180625,0.00009179418,0.000003690134,0.00003491139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001260169,"threshold_uncertainty_score":0.006166697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06800568321069865,"score_gpt":0.3713699519795721,"score_spread":0.3033642687688735,"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."}}