{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001197731,0.0001567439,0.0001774172,0.0002752728,0.0001884241,0.000589783,0.0002211328,0.000117522,0.003537236],"category_scores_gemma":[0.002345618,0.00004737237,0.0002373955,0.0002880325,0.0001262099,0.0002785834,0.000341166,0.0002527476,0.0005763867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003568328,"about_ca_system_score_gemma":0.0007200481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004621666,"about_ca_topic_score_gemma":0.001063252,"domain_scores_codex":[0.9994795,0.0002462716,0.00005714937,0.00005121146,0.0001175912,0.00004828264],"domain_scores_gemma":[0.9992385,0.0001926736,0.000377346,0.00002545596,0.00007422855,0.00009185788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004626852,0.0002767666,0.8002566,0.0003211376,0.00009292367,0.00049677,0.0001902307,0.002563624,0.003696132,0.0005478279,0.003192098,0.1879032],"study_design_scores_gemma":[0.0001468065,0.002409051,0.9440601,0.0004975034,0.000203313,0.005615447,0.0007836854,0.005322765,0.01352186,0.001059632,0.02634599,0.00003365083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9839298,0.004117123,0.005487804,0.0006051963,0.00005687693,0.0001461936,0.0004601475,0.0000364636,0.005160383],"genre_scores_gemma":[0.9935409,0.001368247,0.003967494,0.0001116262,0.00005281161,0.00005292903,0.0003156677,0.00000956047,0.0005808831],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003537236,"threshold_uncertainty_score":0.01183325,"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."}}