{"id":"W4387007604","doi":"10.1016/j.humimm.2023.08.092","title":"P525 Cracking the code: Exploring the connection between COVID-19 vaccines and HLA antibodies in kidney transplant candidates","year":2023,"lang":"en","type":"article","venue":"Human Immunology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; Saskatchewan Health; Saskatchewan Health Authority","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Human leukocyte antigen; Virology; Antibody; Immunology; Kidney transplant; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Kidney; Kidney transplantation; Antigen; Infectious disease (medical specialty); Disease; Pathology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007594304,0.000155232,0.00029998,0.0003209302,0.0005608501,0.00004746199,0.0002166564,0.0000897558,0.0000175063],"category_scores_gemma":[0.0005015832,0.00009416484,0.00005046641,0.0004099297,0.0002888398,0.00009089801,0.0001127051,0.0004460905,0.00003719422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008271656,"about_ca_system_score_gemma":0.0001601563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002058736,"about_ca_topic_score_gemma":0.00138044,"domain_scores_codex":[0.9986602,0.0002075224,0.0002798276,0.0002849793,0.0001533558,0.0004141317],"domain_scores_gemma":[0.998692,0.0008494994,0.00005304499,0.0003285681,0.00004158509,0.00003526666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002510486,0.00002534407,0.8921449,0.0001866866,0.0002015448,0.0001233437,0.009174253,0.000001256962,0.09446447,0.000880778,0.0006789357,0.001867446],"study_design_scores_gemma":[0.002706311,0.000282359,0.8888244,0.0002010311,0.0000945697,0.0001352116,0.003785807,0.00009835188,0.02521761,0.001571007,0.07688852,0.0001948252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918362,0.0009768027,0.0000217636,0.006230392,0.0001704552,0.0003800657,0.00001764408,0.0001384399,0.0002282377],"genre_scores_gemma":[0.9922037,0.0003464403,0.000002244405,0.007047875,0.0001626399,0.0001236173,0.00002888348,0.00002193169,0.00006268981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07620959,"threshold_uncertainty_score":0.4313662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1108931606846029,"score_gpt":0.3752347005596113,"score_spread":0.2643415398750085,"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."}}