{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004298272,0.0001369328,0.001026561,0.0001108795,0.00004162953,0.000004438353,0.0001086461,0.00006014496,0.000006678094],"category_scores_gemma":[0.0001864147,0.00009326516,0.0002998331,0.0006378887,0.0004978866,0.00004125692,0.00006294348,0.0002837158,1.8561e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001789764,"about_ca_system_score_gemma":0.000291076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003913414,"about_ca_topic_score_gemma":0.00000699512,"domain_scores_codex":[0.9983987,0.000341041,0.0005880974,0.0001492108,0.0003103737,0.0002125352],"domain_scores_gemma":[0.9986935,0.0001055071,0.0006195898,0.0002221519,0.0003043964,0.00005483688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006412955,0.0001259375,0.9451239,0.00003098914,0.0009521326,0.0003248953,0.000125484,0.00001584781,0.02671469,0.000003347945,0.007256978,0.01291283],"study_design_scores_gemma":[0.006434266,0.001756921,0.9732072,0.0003057953,0.0001222753,0.0004796965,0.0004166656,0.000002774835,0.001515616,0.00001164219,0.01564503,0.0001021148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891389,0.008364365,0.00001092255,0.001541766,0.0003076073,0.0001746369,0.00009761535,0.000003146228,0.0003610436],"genre_scores_gemma":[0.9975984,0.001625338,0.0001680349,0.0003626461,0.0001241765,0.000003255511,0.000003669086,0.00001619686,0.00009825463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02808329,"threshold_uncertainty_score":0.3803243,"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."}}