{"id":"W4323353350","doi":"10.1016/j.clml.2023.03.002","title":"Response to COVID-19 Vaccination Post-CAR T Therapy in Patients With Non-Hodgkin Lymphoma and Multiple Myeloma","year":2023,"lang":"en","type":"article","venue":"Clinical Lymphoma Myeloma & Leukemia","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Loxo Oncology; Pharmacyclics; Kite Pharma; Genentech; National Cancer Institute; Gilead Sciences; Servier; Alexion Pharmaceuticals; Apellis Pharmaceuticals; BeiGene; Pfizer; Incyte; Innovent Biologics; Adaptive Biotechnologies; Sierra Oncology; CTI Biopharma; bluebird bio; TG Therapeutics; Regeneron Pharmaceuticals; Sanofi; Amgen; AstraZeneca; Cidara Therapeutics; MorphoSys; Celgene; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Medicine; Vaccination; Seroconversion; Lymphoma; Immunology; Multiple myeloma; Antibody; Cancer; Chimeric antigen receptor; Immune system; Immunotherapy; Virology; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003673817,0.00055433,0.001081483,0.001008312,0.0002372232,0.0001082603,0.0004540397,0.0005597287,0.0005093696],"category_scores_gemma":[0.005981316,0.0004675357,0.0002516661,0.002163569,0.0002590103,0.0002296945,0.0003304053,0.0003281375,0.0004744862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002633385,"about_ca_system_score_gemma":0.002871582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000434583,"about_ca_topic_score_gemma":0.0002094165,"domain_scores_codex":[0.9941106,0.0009341298,0.001278053,0.001387597,0.001216582,0.001072977],"domain_scores_gemma":[0.9924431,0.004119811,0.0002330553,0.001207849,0.000520679,0.001475547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.06041803,0.0003920061,0.431937,0.00004803986,0.0001047518,0.0003768191,0.000650359,0.00002348711,0.004270698,0.000007019893,0.0017803,0.4999915],"study_design_scores_gemma":[0.04294798,0.006424471,0.9246277,0.0001195263,0.00002823956,0.00004122586,0.0002196537,0.001064223,0.0008199151,0.00005025497,0.02315609,0.0005006971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917942,0.00006727169,0.00003562278,0.004348734,0.0002755628,0.002760021,0.00006434229,0.0003269323,0.0003273295],"genre_scores_gemma":[0.989073,0.0002165287,0.0004451853,0.007066525,0.0002479073,0.0001850512,0.0002210454,0.0001718079,0.002372927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4994908,"threshold_uncertainty_score":0.9997776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03695353903935361,"score_gpt":0.3572703254441805,"score_spread":0.3203167864048269,"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."}}