{"id":"W3119185463","doi":"10.1111/iji.12525","title":"Matchmaker, matchmaker make me a match: Opportunities and challenges in optimizing compatibility of HLA eplets in transplantation","year":2021,"lang":"en","type":"review","venue":"International Journal of Immunogenetics","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Victoria Hospital; Canadian Blood Services; Royal Victoria Regional Health Centre; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Génome Québec","keywords":"Human leukocyte antigen; Transplantation; Immune system; Histocompatibility; Immunology; Genotyping; Computational biology; Computer science; Medicine; Biology; Antigen; Genetics; Genotype; Internal medicine; Gene","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004505088,0.0003048361,0.00163265,0.0006416344,0.00001180257,0.00003086503,0.0002003463,0.0001883482,0.00004362683],"category_scores_gemma":[0.00002660978,0.0002527843,0.000368008,0.0001226049,0.00007070732,0.0000766438,0.0000312144,0.0003386508,9.676615e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001746254,"about_ca_system_score_gemma":0.0003488323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003935608,"about_ca_topic_score_gemma":0.00005307486,"domain_scores_codex":[0.9970232,0.0001994675,0.001812622,0.0002095396,0.0005944755,0.0001607111],"domain_scores_gemma":[0.998194,0.000282006,0.0008968319,0.0001732603,0.0003784991,0.00007543662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00067658,0.001134221,0.003295518,0.03232071,0.002949392,0.007860282,0.00291007,0.0002403033,0.00004453716,0.0004211094,0.000003868558,0.9481434],"study_design_scores_gemma":[0.03170229,0.001987678,0.06504707,0.6223561,0.008339586,0.0552404,0.006341063,0.0002013011,0.0008147563,0.0005607392,0.2053998,0.00200926],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008769818,0.989852,0.00008596981,0.0003330503,0.000359521,0.0002956195,0.000137399,0.000003456562,0.0001632204],"genre_scores_gemma":[0.006531307,0.9903286,0.002787569,0.00002832433,0.00005234185,0.000009015323,0.0001946176,0.00003226241,0.00003600617],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9461342,"threshold_uncertainty_score":0.9999924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2209647441751924,"score_gpt":0.3875647420847043,"score_spread":0.1665999979095119,"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."}}