{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000474931,0.0006627451,0.0005008089,0.0008088883,0.0006403325,0.001315561,0.0003938173,0.001373411,0.01612397],"category_scores_gemma":[0.001763373,0.000208378,0.0004226475,0.0003711071,0.0006290103,0.0006136082,0.0003366338,0.001251863,0.004777418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003662636,"about_ca_system_score_gemma":0.0006506757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007782633,"about_ca_topic_score_gemma":0.001797168,"domain_scores_codex":[0.9997689,0.00003977397,0.00002639704,0.00004898024,0.00004783913,0.00006819996],"domain_scores_gemma":[0.9989281,0.0002376286,0.000117254,0.000144097,0.0002722841,0.0003005222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002538369,0.000757714,0.144635,0.001132657,0.0006592054,0.111268,0.0003313549,0.0005362164,0.06599846,0.00921138,0.175314,0.4876177],"study_design_scores_gemma":[0.0007851569,0.002008528,0.3029734,0.002048893,0.0007243593,0.3066126,0.000811514,0.002637578,0.02511269,0.01887368,0.3371941,0.0002175215],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.3783675,0.07622449,0.02571886,0.04933481,0.02068376,0.0004839944,0.003558946,0.00108617,0.4445415],"genre_scores_gemma":[0.9106779,0.01883763,0.004152114,0.0121669,0.02481834,0.0001385792,0.001898507,0.0001922778,0.02711787],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01612397,"threshold_uncertainty_score":0.05394012,"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."}}