{"id":"W3040243296","doi":"10.1002/mrm.28390","title":"Quantification of brain oxygen extraction fraction using QSM and a hyperoxic challenge","year":2020,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Hotchkiss Brain Institute; McGill University; McGill Genome Centre","funders":"Canadian Institutes of Health Research","keywords":"Hypercapnia; Hyperoxia; Cerebral blood flow; Quantitative susceptibility mapping; Medicine; Nuclear medicine; Nuclear magnetic resonance; Anesthesia; Magnetic resonance imaging; Internal medicine; Respiratory system; Physics; Radiology; Lung","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000176557,0.0001013719,0.0002817709,0.00008846287,0.0000300751,0.000002136851,0.00004498625,0.00007826769,0.00008149591],"category_scores_gemma":[0.0002544529,0.00008998219,0.00001914268,0.0003258291,0.0001298812,0.00006755585,0.00001549091,0.0001821527,0.000002133973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003767829,"about_ca_system_score_gemma":0.00002291763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001045009,"about_ca_topic_score_gemma":0.000007819858,"domain_scores_codex":[0.9990474,0.00002517796,0.0003572997,0.0002644435,0.0001860636,0.0001196073],"domain_scores_gemma":[0.9994572,0.00008519041,0.0001248897,0.0001882122,0.00006275468,0.00008176305],"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":[0.0002165986,0.000131258,0.002725149,0.0001954315,0.000002014415,0.00001355514,0.0006780198,0.00004295236,0.5721089,0.001332627,0.0006017279,0.4219518],"study_design_scores_gemma":[0.007356325,0.00528491,0.4614279,0.00238154,0.00021581,0.000245519,0.003129355,0.1780143,0.02228178,0.006064542,0.3130029,0.0005951528],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7764184,0.02473464,0.1280707,0.06772161,0.00005556489,0.001321514,0.000005463066,0.0001131213,0.00155901],"genre_scores_gemma":[0.9745076,0.003306895,0.0211311,0.0007348341,0.0001656889,0.00004508757,0.00001093305,0.00001768462,0.00008016644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5498271,"threshold_uncertainty_score":0.3669367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07687246142482201,"score_gpt":0.3688838450227606,"score_spread":0.2920113835979386,"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."}}