{"id":"W2966614593","doi":"10.1016/j.humimm.2019.07.294","title":"Abolishing serum interference in detection of HLA antibodies: Who, How, When and Why?","year":2019,"lang":"en","type":"letter","venue":"Human Immunology","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Interference (communication); Antibody; Human leukocyte antigen; Immunology; Medicine; Computer science; Antigen; Telecommunications","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":[0.00006115475,0.0002240923,0.0006690659,0.0003719455,0.00003583555,0.00002454462,0.0001030439,0.0005180692,0.00007336291],"category_scores_gemma":[0.00001673526,0.0001921992,0.00007918237,0.00005549598,0.0001254202,0.0001008956,0.0000381647,0.0008768971,0.00001123264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005606516,"about_ca_system_score_gemma":0.00002460979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003980089,"about_ca_topic_score_gemma":0.0001410944,"domain_scores_codex":[0.9989734,0.00008612987,0.0002993739,0.0003045679,0.0001012861,0.0002351887],"domain_scores_gemma":[0.9993573,0.0001010353,0.0001971392,0.0002751393,0.0000567338,0.00001266011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001760516,0.0005639824,0.6597992,0.02046391,0.006868002,0.004336826,0.02104183,0.000002865613,0.1934275,0.0005912437,0.06054342,0.03060073],"study_design_scores_gemma":[0.01033031,0.00236619,0.863201,0.00834575,0.0006837584,0.0007926609,0.0004297272,0.00001769011,0.01169754,0.0008620905,0.1005247,0.0007485384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9134328,0.003531778,0.0002283258,0.07870823,0.0008591925,0.0008828963,0.00009049368,0.00006077472,0.002205531],"genre_scores_gemma":[0.9569344,0.001235196,0.00007651146,0.03619209,0.0002058093,0.00001750683,0.0002548773,0.00004328028,0.005040348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2034019,"threshold_uncertainty_score":0.7837656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02686113527474058,"score_gpt":0.2780248873313614,"score_spread":0.2511637520566208,"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."}}