{"id":"W3138063070","doi":"10.1016/j.jacc.2021.01.050","title":"Myocardial T1 and T2 Mapping by Magnetic Resonance in Patients With Immune Checkpoint Inhibitor–Associated Myocarditis","year":2021,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":188,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; McGill University; Toronto General Hospital; Jewish General Hospital; University of Toronto","funders":"National Institute of Allergy and Infectious Diseases; National Heart, Lung, and Blood Institute; National Cancer Institute; National Institutes of Health; Kohlberg Foundation; CSL Behring; Canadian Institutes of Health Research; Harvard University Center for AIDS Research; Canada Research Chairs; New York Academy of Medicine; AstraZeneca","keywords":"Medicine; Myocarditis; Cardiogenic shock; Internal medicine; Ejection fraction; Cardiology; Mace; Magnetic resonance imaging; Cardiac magnetic resonance; Pericardial effusion; Heart failure; Myocardial infarction; Percutaneous coronary intervention; Radiology","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":[0.0004909949,0.0007518335,0.0006483,0.0008859526,0.0006575145,0.0006692465,0.0004716359,0.001192399,0.001315779],"category_scores_gemma":[0.002101542,0.0003549835,0.0003858572,0.0005744228,0.000476374,0.0008145176,0.0003216389,0.0008070724,0.0002473663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003500671,"about_ca_system_score_gemma":0.0002989393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001109705,"about_ca_topic_score_gemma":0.001132276,"domain_scores_codex":[0.9997309,0.00004989592,0.00004591931,0.00006334937,0.00003852167,0.00007150751],"domain_scores_gemma":[0.9994389,0.0001887923,0.0001420899,0.0000341296,0.00004790967,0.0001481194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002399681,0.0002299519,0.9605076,0.00004736554,0.0001171115,0.0261005,0.0001750166,0.0002306947,0.003708241,0.00008976868,0.0003345426,0.006059601],"study_design_scores_gemma":[0.0001623031,0.001131485,0.9484544,0.00005197467,0.0002422309,0.04597317,0.0005511008,0.001548774,0.0009020361,0.0002525458,0.0007048203,0.00002515029],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99642,0.001040906,0.0001650424,0.0002874061,0.00003599544,0.00001092794,0.00005368253,0.00000850919,0.001977666],"genre_scores_gemma":[0.9992402,0.0002736342,0.00006277857,0.0001061693,0.0001110179,0.000004900555,0.0000742039,0.000002990252,0.0001240663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001315779,"threshold_uncertainty_score":0.004401684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004977394613136391,"score_gpt":0.2089417694830916,"score_spread":0.2039643748699553,"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."}}