{"id":"W4224303257","doi":"10.1017/cts.2022.125","title":"236 Optimizing Haploidentical Donor Selection for Pediatric Hematopoietic Cell Transplant","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical and Translational Science","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases; Office of Naval Research; Legend Biotech; Pharmacyclics; Takeda Oncology; Health Resources and Services Administration; MorphoSys; Seagen; Swedish Orphan Biovitrum; Vertex Pharmaceuticals; Omeros Corporation; Astellas Pharma; Adaptive Biotechnologies; Pfizer; Incyte; Kiadis Pharma; bluebird bio; Medac; Jazz Pharmaceuticals; BeiGene; HistoGenetics; Atara Biotherapeutics; CareDx; Actinium Pharmaceuticals; National Cancer Institute; Gilead Sciences; Sanofi; National Heart, Lung, and Blood Institute; Novartis Pharmaceuticals Corporation; CSL Behring; Bristol-Myers Squibb; AstraZeneca; Gateway for Cancer Research; Alexion Pharmaceuticals; Mallinckrodt Pharmaceuticals; Astellas Pharma US; Amgen","keywords":"Medicine; Sibling; Logistic regression; Transplantation; Oncology; Internal medicine; Cohort; Graft-versus-host disease; Hematopoietic cell; Hematopoietic stem cell transplantation; Population; Retrospective cohort study; Incidence (geometry); Haematopoiesis; Stem cell","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002859674,0.0000903801,0.0003350274,0.0001950654,0.00033688,0.00002938298,0.0001236365,0.00004555361,0.0001150748],"category_scores_gemma":[0.00007270848,0.0000739241,0.0002169327,0.0004037128,0.0001912226,0.0002054284,0.000007904822,0.0003536839,0.000001350419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001476036,"about_ca_system_score_gemma":0.0005982731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001837508,"about_ca_topic_score_gemma":8.696105e-7,"domain_scores_codex":[0.9976385,0.00006394725,0.001016664,0.0002164238,0.0008686627,0.0001958034],"domain_scores_gemma":[0.9984921,0.0007154056,0.0002553473,0.00005248919,0.0002257641,0.0002589019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003787831,0.001724873,0.9646286,0.0009037455,0.00008727625,0.00008452746,0.002518297,0.003065354,0.01241842,0.005862468,0.0001819248,0.004736692],"study_design_scores_gemma":[0.02850338,0.006808847,0.8805125,0.0002610613,0.002749385,0.009781077,0.0008206647,0.04555192,0.008601365,0.01231111,0.003302359,0.0007963573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9388385,0.0002553542,0.05781386,0.002044914,0.000440353,0.0002786386,0.00001561049,0.00001025947,0.0003025265],"genre_scores_gemma":[0.9810244,0.0001551113,0.01829397,0.0001617319,0.0002916313,0.000008039747,0.000003682323,0.000008044948,0.00005340036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08411611,"threshold_uncertainty_score":0.3014537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04735630046064371,"score_gpt":0.3552591202588223,"score_spread":0.3079028197981786,"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."}}