{"id":"W3207385543","doi":"10.1002/mrm.28974","title":"Perfusion MRI using endogenous deoxyhemoglobin as a contrast agent: Preliminary data","year":2021,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University of Toronto; University Health Network","funders":"","keywords":"Cerebral blood flow; Cerebral perfusion pressure; Blood volume; Medicine; Middle cerebral artery; Cerebral blood volume; Perfusion; Perfusion scanning; Blood flow; Breathing; Anesthesia; Cardiology; Nuclear medicine; Ischemia","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":[0.0008189885,0.0005712081,0.0002743974,0.0002241204,0.000246764,0.0002571182,0.0002624657,0.0004585729,0.001186373],"category_scores_gemma":[0.0007749588,0.0001775815,0.0001701832,0.0001459198,0.0006597158,0.0004185047,0.0002136648,0.0004940894,0.0006221958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001910406,"about_ca_system_score_gemma":0.0002640699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009018651,"about_ca_topic_score_gemma":0.000855312,"domain_scores_codex":[0.9998819,0.00004401521,0.000009826199,0.00002611703,0.00001945741,0.00001873962],"domain_scores_gemma":[0.9996941,0.0001181452,0.00002368994,0.00004409836,0.0000692724,0.00005066212],"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":[0.004158746,0.0007628426,0.01077647,0.0003657343,0.00007151601,0.001341137,0.0004271673,0.0004877797,0.9491337,0.000171277,0.0003505886,0.03195306],"study_design_scores_gemma":[0.0005832158,0.02817902,0.117162,0.00007566504,0.0004559178,0.0113935,0.0002525721,0.004216862,0.8242838,0.0004644015,0.01286341,0.00006969448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784601,0.005260127,0.01390576,0.0003009371,0.00003259162,0.0001457815,0.0001782791,0.0001339523,0.001582475],"genre_scores_gemma":[0.9845929,0.003160273,0.01010872,0.0001947572,0.00009093549,0.0001297438,0.0007047578,0.00003630459,0.0009815966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001186373,"threshold_uncertainty_score":0.004331231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07675171715873533,"score_gpt":0.3506448266847969,"score_spread":0.2738931095260615,"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."}}