{"id":"W4400724181","doi":"10.3390/antib13030059","title":"Adverse Events of PD-1, PD-L1, CTLA-4, and LAG-3 Immune Checkpoint Inhibitors: An Analysis of the FDA Adverse Events Database","year":2024,"lang":"en","type":"article","venue":"Antibodies","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Adverse effect; CTLA-4; PD-L1; Immune system; Database; Medicine; Immunology; Computer science; Pharmacology; Immunotherapy; T cell","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":[0.009476551,0.0004003921,0.001073803,0.004459287,0.000386689,0.001051737,0.0004775686,0.0004276975,0.001687126],"category_scores_gemma":[0.01633024,0.0001762819,0.001997198,0.005402471,0.0001934919,0.0006773892,0.0007195577,0.0007343349,0.0003255283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053017,"about_ca_system_score_gemma":0.001737468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002801602,"about_ca_topic_score_gemma":0.004394604,"domain_scores_codex":[0.9876066,0.002725622,0.004244857,0.001476945,0.003671129,0.000274899],"domain_scores_gemma":[0.9549983,0.01630788,0.02185588,0.001515208,0.004735742,0.0005870343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003776164,0.0002695437,0.7768893,0.006801141,0.003554418,0.0009344518,0.0002960165,0.002351356,0.00180427,0.0007351059,0.01879675,0.1837915],"study_design_scores_gemma":[0.0004173104,0.000892443,0.9370075,0.001429333,0.002776556,0.003672668,0.0002893872,0.003557393,0.00255965,0.0005151231,0.04679272,0.00008993082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6626165,0.06412346,0.01013992,0.002036917,0.0001943665,0.002264357,0.2448176,0.000654995,0.01315193],"genre_scores_gemma":[0.8178851,0.02337462,0.01297982,0.001790071,0.0002454049,0.0019437,0.1399073,0.0001133575,0.001760535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009476551,"threshold_uncertainty_score":0.05011743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497849639980328,"score_gpt":0.2970432694413767,"score_spread":0.2820647730415734,"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."}}