{"id":"W4200317098","doi":"10.1016/j.neurobiolaging.2021.11.007","title":"White matter hyperintensities are associated with grey matter atrophy and cognitive decline in Alzheimer's disease and frontotemporal dementia","year":2021,"lang":"en","type":"article","venue":"Neurobiology of Aging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"Douglas Mental Health University Institute; McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute on Aging; Canadian Institutes of Health Research","keywords":"Hyperintensity; Atrophy; Dementia; Psychology; Frontotemporal dementia; Grey matter; White matter; Cognitive decline; Alzheimer's disease; Neuroscience; Cardiology; Internal medicine; Disease; Pathology; Medicine; Magnetic resonance imaging; Radiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008555855,0.0004835028,0.0004814415,0.002130352,0.0006237642,0.000873642,0.0004923762,0.0007656596,0.001684477],"category_scores_gemma":[0.003213926,0.0003979323,0.0003893577,0.001642519,0.0006221107,0.0008285567,0.000627586,0.0005928263,0.0002020691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004062411,"about_ca_system_score_gemma":0.0003000231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006004571,"about_ca_topic_score_gemma":0.008281836,"domain_scores_codex":[0.9997081,0.00006596433,0.00004905532,0.00004719665,0.00008408138,0.00004545112],"domain_scores_gemma":[0.9981629,0.0003325807,0.0009935215,0.00005375623,0.000210116,0.0002470604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001286706,0.0002250215,0.9882652,0.00008174312,0.0002514566,0.001380398,0.0003934565,0.00007556017,0.002291825,0.00007709978,0.0001482515,0.005523279],"study_design_scores_gemma":[0.000005240517,0.00003563704,0.9992121,0.000003878173,0.00002440931,0.0004215488,0.00009868938,0.00004028251,0.00003932634,0.00008158715,0.00003487644,0.000002246844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979243,0.001100075,0.00003584443,0.00007107954,0.00001079338,0.000005546548,0.00006098757,0.000003445595,0.0007878946],"genre_scores_gemma":[0.9988728,0.0004402872,0.0001024989,0.00004483286,0.00003328942,0.000004718958,0.0001276636,0.000001809301,0.0003719834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006004571,"threshold_uncertainty_score":0.01193923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01455765327962697,"score_gpt":0.2634744582506068,"score_spread":0.2489168049709799,"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."}}