{"id":"W2955795503","doi":"10.1111/tan.13619","title":"Comparison of sequence‐specific oligonucleotide probe vs next generation sequencing for HLA‐A, B, C, DRB1, DRB3/B4/B5, DQA1, DQB1, DPA1, and DPB1 typing: Toward single‐pass high‐resolution HLA typing in support of solid organ and hematopoietic cell transplant programs","year":2019,"lang":"en","type":"article","venue":"HLA","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; Alberta Children's Hospital","funders":"National Institutes of Health","keywords":"Genotyping; Typing; Human leukocyte antigen; Turnaround time; Sanger sequencing; Multilocus sequence typing; DNA sequencing; Biology; Polymerase chain reaction; Histocompatibility Testing; Computational biology; Genetics; Genotype; Computer science; Antigen; DNA; Gene","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":[0.0002368309,0.0002652634,0.0007255793,0.0001885891,0.00006137149,0.00003504619,0.00007114272,0.000152903,0.00002716401],"category_scores_gemma":[0.0000087553,0.0002346221,0.00009043755,0.0002025859,0.0001005708,0.0001913042,0.00001495268,0.0001446907,0.000005152565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001334886,"about_ca_system_score_gemma":0.0001085291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001284846,"about_ca_topic_score_gemma":0.00006677715,"domain_scores_codex":[0.9981963,0.00005157824,0.0007603395,0.0004210214,0.0002283994,0.0003423685],"domain_scores_gemma":[0.9991725,0.00006833361,0.0002941041,0.0002117155,0.0001294964,0.0001238186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006937099,0.000549949,0.1416962,0.004723103,0.00009626109,0.00003433272,0.008370439,0.0002097261,0.8397465,0.001175711,0.00002818816,0.00267586],"study_design_scores_gemma":[0.01809677,0.005461371,0.06388633,0.005006476,0.0009984444,0.0004459923,0.00311499,0.02063029,0.8798968,0.0004486811,0.0009228433,0.001090984],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940181,0.000643598,0.003181567,0.0002212099,0.0001388577,0.001547875,0.0000610315,0.00003801638,0.0001497238],"genre_scores_gemma":[0.9921647,0.0003946169,0.006726407,0.00006151906,0.0000476967,0.00004417117,0.0004100427,0.00003993437,0.0001109603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07780986,"threshold_uncertainty_score":0.9567611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1158709498254783,"score_gpt":0.3194079867495923,"score_spread":0.203537036924114,"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."}}