{"id":"W4399654151","doi":"10.1016/j.jtct.2024.06.010","title":"Leveraging Hematopoietic Cell Transplant Data and Biorepository Resources at the Center for International Blood and Marrow Transplant Research to Improve Patient Outcomes","year":2024,"lang":"en","type":"article","venue":"Transplantation and Cellular Therapy","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Environmental Health Sciences; National Institute of Allergy and Infectious Diseases; Office of Naval Research; National Heart, Lung, and Blood Institute; Legend Biotech; Astellas Pharma; Adaptive Biotechnologies; Pfizer; Incyte; Kiadis Pharma; bluebird bio; Medac; Jazz Pharmaceuticals; Health Resources and Services Administration; Syndax Pharmaceuticals; BeiGene; HistoGenetics; Atara Biotherapeutics; CareDx; Actinium Pharmaceuticals; National Cancer Institute; Gilead Sciences; Sanofi; GlaxoSmithKline; CSL Behring; Bristol-Myers Squibb; AstraZeneca; Gateway for Cancer Research; Alexion Pharmaceuticals; Mallinckrodt Pharmaceuticals; Astellas Pharma US; Amgen","keywords":"Biorepository; Hematopoietic cell; Medicine; Bone marrow transplant; Intensive care medicine; Bone transplantation; Haematopoiesis; Hematologic Neoplasms; Bone marrow; Bone marrow transplantation; Immunology; Internal medicine; Transplantation; Stem cell; Bioinformatics; Surgery; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006941307,0.0002606833,0.0002762814,0.0002139854,0.0002977727,0.0001704642,0.0001710744,0.0001085387,0.00004028354],"category_scores_gemma":[0.000005953488,0.0001788657,0.00006564901,0.0001197876,0.0001533083,0.000127417,0.00002205397,0.0002282401,0.000005840244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002441205,"about_ca_system_score_gemma":0.00003689033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004373258,"about_ca_topic_score_gemma":0.00002231719,"domain_scores_codex":[0.9979147,0.0001274657,0.0004245545,0.0007088152,0.0004931213,0.0003313836],"domain_scores_gemma":[0.9988437,0.0004798876,0.00003861452,0.0003406874,0.0001009912,0.0001961407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00350873,0.0003846022,0.03900056,0.004414019,0.0007360878,0.0005577827,0.1445991,0.000005017191,0.7874705,0.0002594859,0.0004503074,0.01861377],"study_design_scores_gemma":[0.0155375,0.001717948,0.01444091,0.002590999,0.001396638,0.002167803,0.005055698,0.003058541,0.8936586,0.0002391543,0.05906913,0.001067048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855283,0.004556651,0.003342771,0.003270872,0.0004667592,0.001464415,0.000920014,0.00007030553,0.0003799465],"genre_scores_gemma":[0.990755,0.00684468,0.0004126946,0.0004831916,0.0001025945,0.0001186296,0.0007700741,0.00004957198,0.0004635813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1395434,"threshold_uncertainty_score":0.7293932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03881202354631987,"score_gpt":0.3062114087726352,"score_spread":0.2673993852263153,"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."}}