{"id":"W4210571894","doi":"10.1002/alz.055493","title":"Characterizing white matter hemodynamic markers of lesion burden and cognitive function using arterial spin labeling MRI","year":2021,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"White matter; Hyperintensity; Montreal Cognitive Assessment; Magnetic resonance imaging; Cardiology; Cerebral blood flow; Hemodynamics; Psychology; Medicine; Cognition; Diffusion MRI; Effects of sleep deprivation on cognitive performance; Internal medicine; Neuroscience; Nuclear medicine; Cognitive impairment; Radiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005681612,0.0002588093,0.0002016705,0.0006892732,0.000150304,0.0005057587,0.0001637869,0.0002410999,0.001009195],"category_scores_gemma":[0.001002121,0.000114206,0.0001227508,0.0003929937,0.0002074184,0.0003107775,0.0001250516,0.000161736,0.0001361427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700372,"about_ca_system_score_gemma":0.0002193975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001848665,"about_ca_topic_score_gemma":0.00329499,"domain_scores_codex":[0.999899,0.00002946509,0.000006927058,0.0000309655,0.0000192567,0.00001432784],"domain_scores_gemma":[0.9994985,0.0001197171,0.0002078698,0.00005329163,0.00007820963,0.00004239745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002554511,0.0004818029,0.5150463,0.0004655321,0.0005080508,0.0003774213,0.000588119,0.003774294,0.3808353,0.000700423,0.001290987,0.09337728],"study_design_scores_gemma":[0.00004229216,0.0006436253,0.9617958,0.00002564992,0.0001762025,0.0006390046,0.0001015458,0.00968476,0.02496839,0.001092748,0.0008020144,0.00002793518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944407,0.0002806785,0.004482703,0.00003188399,0.000004132969,0.00001774225,0.0002577312,0.00004904609,0.0004353506],"genre_scores_gemma":[0.994864,0.0001626185,0.004440803,0.00002049672,0.00001412608,0.00002888936,0.0001840086,0.000009264103,0.0002756882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001848665,"threshold_uncertainty_score":0.003675759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04908604945501183,"score_gpt":0.3258690307130059,"score_spread":0.2767829812579941,"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."}}