{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009416109,0.0001011198,0.0001455415,0.00008902104,0.00009169339,0.00003339358,0.00002882659,0.00003325929,0.000007857756],"category_scores_gemma":[0.00001882881,0.00008268936,0.00001426563,0.0001220324,0.0001111927,0.00006400301,0.00006206082,0.0001075728,0.000001496765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001321655,"about_ca_system_score_gemma":0.000006359821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007859904,"about_ca_topic_score_gemma":0.00001490543,"domain_scores_codex":[0.9993574,0.00001210496,0.0001318583,0.0002620146,0.00008473398,0.0001519102],"domain_scores_gemma":[0.9997129,0.00004957904,0.00002765165,0.0001134545,0.00001440744,0.00008196146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001065948,0.00009500336,0.1222459,0.00003280484,9.219256e-7,0.00003325215,0.0002546995,1.371091e-7,0.6442303,0.00004437789,0.004158399,0.2288936],"study_design_scores_gemma":[0.001534542,0.0001037788,0.9621857,0.0003306266,0.0001080752,0.0002355892,0.001229232,0.001075717,0.01787875,0.001064949,0.01392424,0.0003288219],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920518,0.001047625,0.0003431425,0.006021788,0.00002165609,0.0003103338,0.00001731721,0.0001317738,0.00005456751],"genre_scores_gemma":[0.9955708,0.001517415,0.001196026,0.0002674562,0.00001662502,0.0001307943,0.00004840744,0.00001382541,0.001238594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8399398,"threshold_uncertainty_score":0.3371974,"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."}}