{"id":"W4410074869","doi":"10.1101/2025.04.29.651006","title":"Combined Angiographic, Structural and Perfusion Radial Imaging using Arterial Spin Labeling","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"Royal Society; National Institute for Health and Care Research; Canada Research Chairs; Wellcome Trust","keywords":"Arterial spin labeling; Perfusion; Perfusion scanning; Nuclear magnetic resonance; Medicine; Radiology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007020058,0.0006348662,0.0003146059,0.0005690758,0.0001259901,0.000434558,0.0006098769,0.0006641172,0.001217674],"category_scores_gemma":[0.000917469,0.0003777749,0.000287746,0.0002054589,0.0003501895,0.0005068798,0.000338044,0.0005097769,0.0005690392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001462447,"about_ca_system_score_gemma":0.0005027518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004326537,"about_ca_topic_score_gemma":0.0009686596,"domain_scores_codex":[0.9997705,0.00007015919,0.00001230277,0.00005064212,0.00007221507,0.00002423291],"domain_scores_gemma":[0.9996058,0.00009537939,0.00005852028,0.00007587111,0.0001224409,0.00004195055],"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":[0.0004289917,0.00006676426,0.001513785,0.0002276928,0.00003716292,0.000457534,0.00002578904,0.0007561535,0.9221013,0.0005251367,0.0002472219,0.07361243],"study_design_scores_gemma":[0.0001847457,0.003487569,0.0140926,0.00005841891,0.0002326035,0.01627425,0.00004606734,0.04211107,0.9140536,0.001055379,0.008320937,0.000082853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2637887,0.002280474,0.7297106,0.0002613879,0.0000647712,0.0003034563,0.0001294915,0.00121183,0.00224923],"genre_scores_gemma":[0.4056336,0.00108469,0.5908839,0.000129271,0.00008413976,0.0002577082,0.0001924957,0.0001046053,0.00162955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001217674,"threshold_uncertainty_score":0.004073501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270379974312227,"score_gpt":0.2722026284621765,"score_spread":0.2594988287190543,"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."}}