{"id":"W4281654209","doi":"10.1200/jco.2022.40.16_suppl.2508","title":"Major adverse cardiac events (MACE) with immune checkpoint inhibitor (ICI)-based therapies for cancer: A pooled analysis of investigational clinical trials sponsored by the National Cancer Institute Cancer Therapy Evaluation Program (NCI-CTEP) in the United States and Canada.","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health","keywords":"Mace; Medicine; Internal medicine; Myocarditis; Adverse effect; Oncology; Clinical trial; Cancer; Myocardial infarction; Percutaneous coronary intervention","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02482015,0.001159848,0.003765884,0.003635515,0.000256906,0.001250649,0.0007281955,0.0006732884,0.00142398],"category_scores_gemma":[0.02944742,0.0005328041,0.01410153,0.005205126,0.0003432599,0.0007506086,0.001017943,0.0007071664,0.0001210734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000968523,"about_ca_system_score_gemma":0.001037715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002121675,"about_ca_topic_score_gemma":0.004580078,"domain_scores_codex":[0.9786049,0.01158444,0.00495556,0.00237567,0.00203628,0.0004431628],"domain_scores_gemma":[0.9650608,0.01604172,0.01546003,0.001555863,0.001459297,0.000422286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.04413768,0.0001375419,0.3885306,0.01923236,0.5092956,0.0002299601,0.00008199886,0.00216253,0.0007336733,0.0001906223,0.002957406,0.03231004],"study_design_scores_gemma":[0.007686086,0.004183973,0.5421801,0.0022581,0.4345902,0.0007083371,0.0001390528,0.002027134,0.0007007063,0.0003624321,0.005075277,0.00008851162],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5435545,0.4110741,0.005202896,0.000640631,0.0003192645,0.0019571,0.03445797,0.0001375179,0.002656123],"genre_scores_gemma":[0.9553784,0.03030027,0.002086242,0.0003780468,0.000289994,0.001103135,0.01017209,0.00002863602,0.0002632624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02482015,"threshold_uncertainty_score":0.1312631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1886583997732331,"score_gpt":0.5038805220845376,"score_spread":0.3152221223113045,"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."}}