{"id":"W4390542457","doi":"10.3389/fphys.2023.1271254","title":"Feasibility of high-resolution perfusion imaging using arterial spin labeling MRI at 3 Tesla","year":2024,"lang":"en","type":"article","venue":"Frontiers in Physiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; Ontario Brain Institute; University Health Network","funders":"Institute for Basic Science","keywords":"Cerebral blood flow; Arterial spin labeling; Voxel; Perfusion; Perfusion scanning; Medicine; Nuclear medicine; Partial volume; Cerebral perfusion pressure; Nuclear magnetic resonance; Magnetic resonance imaging; Biomedical engineering; Radiology; Physics; Cardiology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001792533,0.000505591,0.0004670326,0.0002765305,0.0002265931,0.0007385795,0.0004740011,0.001011329,0.001158518],"category_scores_gemma":[0.002652979,0.000419879,0.0002612195,0.0001825139,0.0005297435,0.0009077408,0.0003920907,0.0006058784,0.0003755648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002045087,"about_ca_system_score_gemma":0.0004700582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008234611,"about_ca_topic_score_gemma":0.001293521,"domain_scores_codex":[0.9995416,0.0002571029,0.00001992946,0.00007169636,0.00006095384,0.00004867517],"domain_scores_gemma":[0.9993209,0.0002841711,0.00009683974,0.00008355834,0.0001529057,0.00006155579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002015763,0.0001513196,0.003207333,0.0004271109,0.0001057787,0.0005688881,0.0002207171,0.005111733,0.9523628,0.0006028835,0.0007282555,0.03449732],"study_design_scores_gemma":[0.0008043323,0.005362833,0.05983103,0.0001547847,0.000551911,0.005701663,0.00038617,0.09745494,0.8174586,0.003281979,0.008753575,0.0002581151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8060431,0.002133834,0.1876305,0.0008397062,0.00006983482,0.0002116792,0.0002154823,0.0008847776,0.001971056],"genre_scores_gemma":[0.8976034,0.0006792111,0.1004426,0.0002918809,0.00005050424,0.0001789142,0.0001914113,0.0001283933,0.0004337685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001792533,"threshold_uncertainty_score":0.00947994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024283930593592,"score_gpt":0.3272354924609883,"score_spread":0.3069926531550524,"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."}}