{"id":"W2938913601","doi":"10.1002/mrm.27765","title":"Accelerated interleaved spiral‐IDEAL imaging of hyperpolarized <sup>129</sup>Xe for parametric gas exchange mapping in humans","year":2019,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"Spiral (railway); Xenon; Hematocrit; Chemistry; Voxel; Parametric statistics; Nuclear medicine; Nuclear magnetic resonance; Acceleration; Biomedical engineering; Physics; Mathematics; Artificial intelligence; Computer science; Medicine; Mathematical analysis","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":[0.0004645107,0.0003070892,0.0002043301,0.0001609394,0.000108169,0.0002563425,0.0001852556,0.0003181014,0.0009566821],"category_scores_gemma":[0.001391104,0.0002233418,0.0001012761,0.00008769605,0.0002813101,0.0002603946,0.0002102923,0.0001938574,0.0001583815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008096432,"about_ca_system_score_gemma":0.0002181701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002862077,"about_ca_topic_score_gemma":0.0004328173,"domain_scores_codex":[0.9999099,0.00004196871,0.00000505729,0.00001915156,0.0000157252,0.000008196494],"domain_scores_gemma":[0.9997267,0.0001044295,0.00004771036,0.00005063078,0.00004265093,0.0000278716],"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":[0.004179803,0.0001227605,0.008800576,0.0003219103,0.00005602219,0.0008773823,0.0002904801,0.006032142,0.9129178,0.0009043136,0.0005144223,0.06498236],"study_design_scores_gemma":[0.0006384171,0.009326649,0.1285868,0.0001372852,0.0003030547,0.03036872,0.0004421559,0.1286087,0.6841272,0.00410031,0.01321763,0.0001429802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9288151,0.0007958327,0.06870606,0.0001518573,0.0000157584,0.00007619521,0.00007373405,0.0001892886,0.001176199],"genre_scores_gemma":[0.9518312,0.0003076682,0.04721822,0.00005208177,0.00001710808,0.0000488428,0.00007228488,0.000041532,0.0004110367],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0009566821,"threshold_uncertainty_score":0.003200412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03589204885469022,"score_gpt":0.3057689502843094,"score_spread":0.2698769014296192,"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."}}