{"id":"W4360994059","doi":"10.1007/s11682-023-00764-8","title":"Hypo- and hyper-perfusion in MCI and AD identified by different ASL MRI sequences","year":2023,"lang":"en","type":"article","venue":"Brain Imaging and Behavior","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; National Center for Advancing Translational Sciences; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association","keywords":"Cerebral blood flow; Arterial spin labeling; Perfusion; Medicine; Cerebral perfusion pressure; Cardiology; Alzheimer's disease; White matter; Nuclear medicine; Internal medicine; Magnetic resonance imaging; Neuroscience; Psychology; Radiology; Disease","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":[0.0008965997,0.0006425067,0.0003368499,0.002459317,0.0002744963,0.0008984084,0.0003780053,0.0008632027,0.001921811],"category_scores_gemma":[0.001568779,0.0002539946,0.0002269237,0.0006759904,0.0006874687,0.0007774975,0.0003714049,0.0003516004,0.0002949971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003970721,"about_ca_system_score_gemma":0.0002937462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002853982,"about_ca_topic_score_gemma":0.002525242,"domain_scores_codex":[0.9998497,0.00003635461,0.00001847596,0.00002562551,0.00001970934,0.00005015314],"domain_scores_gemma":[0.9997095,0.00006492601,0.00008160603,0.00001676645,0.00006473608,0.0000623954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02564665,0.0008095148,0.5356106,0.0007462163,0.0006653361,0.02050487,0.002351623,0.001762488,0.3220524,0.002350691,0.001236702,0.0862628],"study_design_scores_gemma":[0.0002170582,0.001680933,0.9416419,0.0001739273,0.0005726857,0.01830859,0.002113919,0.007873738,0.02181843,0.003871867,0.001666692,0.00006025817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959419,0.001036897,0.0006112571,0.00008841884,0.00001221461,0.0000208665,0.0001280468,0.00001832849,0.002142071],"genre_scores_gemma":[0.9982917,0.0003876481,0.0006348254,0.00004398898,0.00002322141,0.00002110711,0.0001311724,0.000008913888,0.000457511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002853982,"threshold_uncertainty_score":0.006429076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813625158003063,"score_gpt":0.3255179755950985,"score_spread":0.3073817240150679,"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."}}