{"id":"W4406154657","doi":"10.1002/alz.14499","title":"Mapping amyloid beta predictors of entorhinal tau in preclinical Alzheimer's disease","year":2025,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; National Institute on Aging; National Institutes of Health; Pfizer; Servier; Northern California Institute for Research and Education; Canadian Institutes of Health Research; University of Southern California; U.S. Department of Defense","keywords":"Alzheimer's Disease Neuroimaging Initiative; Hippocampal formation; Neuroscience; Positron emission tomography; Neuroimaging; Entorhinal cortex; Standardized uptake value; Neurodegeneration; Psychology; Alzheimer's disease; Cognitive decline; Magnetic resonance imaging; Amyloid beta; Medicine; Dementia; Oncology; Cognition; Internal medicine; Disease; Cognitive impairment; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001383764,0.001009302,0.0004938605,0.0008227826,0.0002629185,0.000738425,0.0004663641,0.0003537479,0.0009152605],"category_scores_gemma":[0.002693207,0.0002587349,0.0006916819,0.0003928104,0.0002515487,0.0003162979,0.0004630865,0.0005013695,0.0003026928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005202903,"about_ca_system_score_gemma":0.0007813973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01472801,"about_ca_topic_score_gemma":0.01144046,"domain_scores_codex":[0.9998003,0.0000853426,0.00001176033,0.00005793229,0.00002099974,0.00002368321],"domain_scores_gemma":[0.9991536,0.0004736583,0.0001533331,0.00005854761,0.00009536753,0.00006547067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001124739,0.0003309545,0.6877998,0.00009086318,0.0005267665,0.0003439858,0.0002080133,0.2539433,0.003878704,0.0004183571,0.001181509,0.05015304],"study_design_scores_gemma":[0.00003711122,0.0001897442,0.1257727,0.00003599331,0.0001321704,0.0002271611,0.00008992798,0.8701088,0.001001614,0.002055631,0.0003300131,0.00001907698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866174,0.0003386476,0.01173458,0.0001592865,0.000008107301,0.00002831543,0.0003819501,0.0001356534,0.0005960311],"genre_scores_gemma":[0.9971231,0.00009475114,0.002239844,0.00001152078,0.000005545134,0.0000128258,0.0003093097,0.000009503798,0.0001935072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01472801,"threshold_uncertainty_score":0.02928454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0419801557636456,"score_gpt":0.3433681570064468,"score_spread":0.3013880012428012,"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."}}