{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009702321,0.0003227271,0.0007542946,0.0009692966,0.0005328341,0.002653972,0.001189978,0.001438913,0.002137721],"category_scores_gemma":[0.01229236,0.0002393799,0.0006569649,0.0009818387,0.001575868,0.003616458,0.001552067,0.003653084,0.001145105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009858717,"about_ca_system_score_gemma":0.001910331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001087408,"about_ca_topic_score_gemma":0.001435385,"domain_scores_codex":[0.9966806,0.001691724,0.0003610319,0.0003033531,0.0008081638,0.0001551329],"domain_scores_gemma":[0.9947302,0.003299377,0.000447893,0.0002262789,0.0008737448,0.0004225214],"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":[0.0001973001,0.0001248392,0.004931356,0.002953368,0.00008864605,0.0005437053,0.0006160016,0.001108414,0.002745959,0.01772099,0.02404913,0.9449202],"study_design_scores_gemma":[0.00006294619,0.0008168102,0.008781068,0.005196752,0.000256654,0.01045578,0.001498606,0.005159016,0.006713153,0.04350947,0.9173855,0.0001642401],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01367239,0.8772278,0.0589895,0.03554812,0.004281617,0.0001215795,0.00009904474,0.0003654769,0.009694444],"genre_scores_gemma":[0.1028343,0.7868544,0.08102674,0.01739205,0.00600255,0.0001987161,0.0002878066,0.000236031,0.005167395],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009702321,"threshold_uncertainty_score":0.05131143,"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."}}