{"id":"W4410003759","doi":"10.1101/2025.04.25.25326432","title":"Array Genotyping of Transfusion Relevant Blood Cell Antigens in 6946 Ancestrally Diverse Subjects","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Blood groups and transfusion","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; Nutrasource","funders":"NIHR BioResource; Stichting Sanquin Bloedvoorziening; Cambridge University Hospitals; University of Cambridge; Department of Health and Social Care; NIHR Cambridge Biomedical Research Centre; British Heart Foundation; National Institute for Health and Care Research; NHS Blood and Transplant","keywords":"Genotyping; Blood group antigens; Biology; Antigen; Psychology; Genetics; Genotype; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006754923,0.00027901,0.0003303048,0.0005537384,0.0003532867,0.0004885114,0.0002079666,0.0003731981,0.001448849],"category_scores_gemma":[0.001683105,0.0002263765,0.0002042195,0.0009438445,0.00019933,0.0001721429,0.0003450681,0.0002416211,0.0003700153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001443694,"about_ca_system_score_gemma":0.00009737245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002492617,"about_ca_topic_score_gemma":0.001795209,"domain_scores_codex":[0.9988356,0.0003493011,0.00009233358,0.0004910663,0.0001562874,0.00007541943],"domain_scores_gemma":[0.9993795,0.0002257544,0.0001007284,0.0001571754,0.00009549267,0.00004127641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009862344,0.00009902724,0.8645635,0.00007150426,0.0002643261,0.0003634089,0.000894989,0.0009448682,0.08933397,0.0002287338,0.0008649267,0.04138459],"study_design_scores_gemma":[0.00003724904,0.0003134033,0.98045,0.00001673054,0.0001517216,0.001641155,0.0001390781,0.001899908,0.01100775,0.0001603782,0.004162825,0.00001966964],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961305,0.0002542243,0.001755983,0.00001891844,0.000006564066,0.00001530095,0.00120937,0.00002349553,0.0005856646],"genre_scores_gemma":[0.9954997,0.0001691128,0.001988142,0.00003937826,0.0000147926,0.00003064394,0.001669783,0.00001379426,0.0005746303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002492617,"threshold_uncertainty_score":0.004956186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0198858978788912,"score_gpt":0.2603973025257095,"score_spread":0.2405114046468183,"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."}}