{"id":"W4416239454","doi":"10.1016/j.jcmg.2025.09.023","title":"Stress Perfusion Cardiac Magnetic Resonance Imaging","year":2025,"lang":"en","type":"article","venue":"JACC. Cardiovascular imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Magnetic resonance imaging; Stress (linguistics); Cardiac magnetic resonance; Perfusion; Cardiac magnetic resonance imaging","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009294067,0.0004423355,0.001062582,0.0004446971,0.0003074853,0.000195798,0.0002256818,0.00007759568,0.00004779181],"category_scores_gemma":[0.0006818142,0.0004524092,0.002038689,0.0007642848,0.0001953534,0.0002141338,0.0003074165,0.0005257328,0.0000957103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002697756,"about_ca_system_score_gemma":0.0002708883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003826424,"about_ca_topic_score_gemma":0.000001498274,"domain_scores_codex":[0.9967729,0.0002093736,0.0004690635,0.0009086099,0.0008633244,0.0007766932],"domain_scores_gemma":[0.9973726,0.0002172556,0.00005517631,0.0017297,0.000400759,0.0002245162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004104991,0.0000641887,0.4896354,0.0001696171,0.0002188493,0.0004964041,0.0001341163,0.0001134942,0.0007266059,0.0001332766,0.01359482,0.4946722],"study_design_scores_gemma":[0.002790574,0.00001696323,0.537995,0.001234837,0.002398674,0.0002160406,0.0006754887,0.002282467,0.003862733,0.0001119088,0.4478316,0.0005838039],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.06255217,0.8319785,0.007950716,0.00330145,0.003890411,0.001353934,0.00008841571,0.0008325966,0.08805181],"genre_scores_gemma":[0.9915258,0.002064753,0.001961191,0.001505148,0.0008932356,0.00009934347,0.00008631875,0.0001074274,0.001756834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9289736,"threshold_uncertainty_score":0.9997928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005056526305503083,"score_gpt":0.2357844604076415,"score_spread":0.2307279341021384,"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."}}