{"id":"W3033659129","doi":"10.1177/0271678x20927101","title":"Cerebroarterial pulsatility and resistivity indices are associated with cognitive impairment and white matter hyperintensity in elderly subjects: A phase-contrast MRI study","year":2020,"lang":"en","type":"article","venue":"Journal of Cerebral Blood Flow & Metabolism","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; National Institute on Aging","keywords":"Cardiology; Pulsatile flow; Hyperintensity; Internal medicine; Montreal Cognitive Assessment; White matter; Cerebral blood flow; Hemodynamics; Medicine; Dementia; Cognitive decline; Magnetic resonance imaging; Psychology; Radiology; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003991671,0.0002371591,0.0008630311,0.0001091852,0.00008564918,0.00005266058,0.00007129638,0.00008681465,0.00004710274],"category_scores_gemma":[0.0001543795,0.0001764916,0.00007093959,0.0002441948,0.0001222428,0.0002679222,0.00005454264,0.0005053329,7.08592e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002462502,"about_ca_system_score_gemma":0.00006732797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002640628,"about_ca_topic_score_gemma":0.0001357871,"domain_scores_codex":[0.998439,0.000152436,0.0005313557,0.0003161525,0.0003148692,0.0002462475],"domain_scores_gemma":[0.9986862,0.00008020324,0.0005282298,0.0001170214,0.0003048261,0.0002835109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004431906,0.003155993,0.9841427,0.00005814156,0.0003425858,0.0002346921,0.003325623,0.000002799817,0.001776189,0.000003597906,0.0001530685,0.002372698],"study_design_scores_gemma":[0.01717776,0.002649179,0.9752491,0.00020555,0.0009753351,0.0001638184,0.002064293,0.0001018906,0.001123742,0.00008043698,0.00004051438,0.0001683967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995191,0.0002570735,0.0009630436,0.002436959,0.0000330882,0.0009490015,0.0001158955,0.00002434707,0.00002952572],"genre_scores_gemma":[0.9965699,0.00004432449,0.002500076,0.0006206419,0.0001997582,0.0000249887,0.000008438238,0.00002192573,0.000009941311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01274585,"threshold_uncertainty_score":0.7197118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373242412611347,"score_gpt":0.2706538336834206,"score_spread":0.2569214095573071,"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."}}