{"id":"W2414354258","doi":"10.3324/haematol.2016.143271","title":"Human leukocyte antigen supertype matching after myeloablative hematopoietic cell transplantation with 7/8 matched unrelated donor allografts: a report from the Center for International Blood and Marrow Transplant Research","year":2016,"lang":"en","type":"article","venue":"Haematologica","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Human leukocyte antigen; Transplantation; Hazard ratio; Medicine; Hematopoietic stem cell transplantation; Immunology; Graft-versus-host disease; Histocompatibility; Hematopoietic cell; Antigen; Haematopoiesis; Internal medicine; Biology; Stem cell; Genetics","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":[0.001152458,0.0002040673,0.000218469,0.0002139887,0.0002048705,0.0002574823,0.0001757957,0.0002053048,0.0003352565],"category_scores_gemma":[0.001961922,0.00008096957,0.0002740815,0.0002809884,0.0002474826,0.0001720876,0.0001594066,0.0003758051,0.00008063323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002172381,"about_ca_system_score_gemma":0.0002699214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008605489,"about_ca_topic_score_gemma":0.0008414292,"domain_scores_codex":[0.9995396,0.0001706478,0.00004603596,0.00006090735,0.0001315682,0.00005127866],"domain_scores_gemma":[0.9991174,0.0003446581,0.0002501812,0.00009762073,0.00007679698,0.0001131814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001782698,0.0003087065,0.9571724,0.00003560634,0.0001344423,0.002385735,0.0002445941,0.0002172813,0.002953141,0.00007222813,0.0002618844,0.03443129],"study_design_scores_gemma":[0.000135843,0.004088244,0.9784782,0.00002070896,0.0002773784,0.009654484,0.0002373706,0.001021137,0.004653064,0.0001087952,0.00130729,0.00001747165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991893,0.0004162173,0.0001797338,0.00003110583,0.000007500124,0.000006872505,0.00001118396,0.000002213793,0.0001558022],"genre_scores_gemma":[0.9994206,0.0002889732,0.0001173698,0.00003682133,0.00001777738,0.000003437368,0.00005556786,0.000001299001,0.00005810796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001152458,"threshold_uncertainty_score":0.006094813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306986733556131,"score_gpt":0.2601794026681586,"score_spread":0.2371095353325973,"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."}}