{"id":"W3080911256","doi":"10.3390/diagnostics10090630","title":"Hyperpolarized 129Xe Time-of-Flight MR Imaging of Perfusion and Brain Function","year":2020,"lang":"en","type":"article","venue":"Diagnostics","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Thunder Bay Regional Health Sciences Centre; Lakehead University; Thunder Bay Regional Research Institute","funders":"Mitacs; Northern Ontario Academic Medicine Association; Ontario Research Foundation; BrightFocus Foundation","keywords":"Perfusion; Cerebral blood flow; Magnetic resonance imaging; Positron emission tomography; Perfusion scanning; Nuclear medicine; Emission computed tomography; Blood flow; Hemodynamics; Single-photon emission computed tomography; Arterial spin labeling; Neuroimaging; Dynamic imaging; Dynamic contrast-enhanced MRI; Preclinical imaging; Xenon; Medicine; Nuclear magnetic resonance; Chemistry; Radiology; In vivo; Internal medicine; Physics; Computer science; Image processing; Artificial intelligence","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":[0.0002263713,0.0002897484,0.0001623404,0.0002820464,0.00008838261,0.0002341954,0.0001791663,0.0003279749,0.0008295477],"category_scores_gemma":[0.0003222791,0.0001247333,0.00008053334,0.0001789493,0.0002713581,0.0004881686,0.0001933228,0.0002899811,0.0001671778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000907907,"about_ca_system_score_gemma":0.000174862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002416137,"about_ca_topic_score_gemma":0.0002912809,"domain_scores_codex":[0.9999479,0.00001787189,0.000002255898,0.00001356176,0.00001102167,0.000007426669],"domain_scores_gemma":[0.9999032,0.00004233093,0.00002390635,0.000006966359,0.00001442721,0.000009080473],"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":[0.00007902659,0.00001847647,0.0008261206,0.00005618294,0.000008090192,0.0001575962,0.00001233059,0.0001901437,0.9878628,0.0005354308,0.00006758375,0.01018615],"study_design_scores_gemma":[0.00002500315,0.0007243169,0.03531468,0.00004402756,0.00005315323,0.005175583,0.00009158717,0.008884546,0.941689,0.001682653,0.006285468,0.00002993864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8622577,0.0117961,0.117453,0.0003999833,0.00004895811,0.00004361265,0.0002735045,0.0001824672,0.007544615],"genre_scores_gemma":[0.9499171,0.007329362,0.04013323,0.0001684887,0.00007525706,0.00004192563,0.0003235732,0.00003514408,0.001975935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008295477,"threshold_uncertainty_score":0.002775133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044912879307925,"score_gpt":0.2419379277925794,"score_spread":0.2314887989995001,"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."}}