{"id":"W3087627659","doi":"10.1016/j.neurobiolaging.2020.09.008","title":"The age-dependent associations of white matter hyperintensities and neurofilament light in early- and late-stage Alzheimer's disease","year":2020,"lang":"en","type":"article","venue":"Neurobiology of Aging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute on Aging; Canadian Institutes of Health Research; National Institute for Health and Care Research; U.S. Department of Defense","keywords":"Hyperintensity; Internal medicine; Psychology; Alzheimer's disease; Cognitive decline; Cardiology; Disease; Neuroimaging; Diabetes mellitus; Cohort; White matter; Medicine; Pathology; Magnetic resonance imaging; Neuroscience; Dementia; Endocrinology","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":[0.0009745873,0.0004062217,0.0003060499,0.0009889925,0.0003698886,0.0006501423,0.0004080482,0.0006741182,0.001538899],"category_scores_gemma":[0.002866823,0.0003471409,0.0003953761,0.0005993245,0.0003550011,0.0007975043,0.0004533652,0.0006722814,0.0002054157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002171261,"about_ca_system_score_gemma":0.0001968424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003084726,"about_ca_topic_score_gemma":0.004191904,"domain_scores_codex":[0.9997631,0.00005548832,0.0000366051,0.00005641662,0.00003635974,0.00005210046],"domain_scores_gemma":[0.9973974,0.0005531697,0.001159366,0.00020391,0.0003222793,0.0003638248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00145553,0.00007462416,0.9933948,0.00001506525,0.0001232665,0.0001653762,0.0001190905,0.00006264652,0.002189937,0.00005495581,0.00005442533,0.002290214],"study_design_scores_gemma":[0.000002522157,0.00005143023,0.9995785,0.000001187672,0.00001854194,0.0001035837,0.00004568955,0.0000493694,0.00007993462,0.00003336877,0.00003372629,0.000002059565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986268,0.0006234795,0.00007146214,0.00003316336,0.00001099937,0.000002382053,0.0001271876,0.000003836774,0.0005007501],"genre_scores_gemma":[0.9991335,0.0001748434,0.00005397605,0.00001429004,0.0000169831,0.000001544455,0.0001226056,0.000002119027,0.0004800109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003084726,"threshold_uncertainty_score":0.006133556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02724408058997862,"score_gpt":0.2804539498911062,"score_spread":0.2532098693011275,"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."}}