{"id":"W4407158622","doi":"10.1016/j.trim.2025.102178","title":"Determining the best premedication regimen to prevent rabbit anti-human thymocyte globulin infusion-associated reactions: A retrospective study comparing two hematopoietic stem cell transplant centers","year":2025,"lang":"en","type":"article","venue":"Transplant Immunology","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université Laval; Cégep de Rimouski; Centre hospitalier de l'Université Laval","funders":"Fondation CHU de Québec","keywords":"Anti-thymocyte globulin; Premedication; Regimen; Haematopoiesis; Hematopoietic stem cell; Retrospective cohort study; Biology; Stem cell; Hematopoietic stem cell transplantation; Medicine; Andrology; Internal medicine; Immunology; Globulin; Anesthesia; Genetics","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":[0.001582454,0.0003005052,0.0004611269,0.0008429985,0.00041114,0.0006660288,0.0002876222,0.0004838329,0.0009866148],"category_scores_gemma":[0.003154806,0.0002891065,0.0006401312,0.001153194,0.0003759922,0.0005020942,0.0004303396,0.0004020736,0.0001872785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000582654,"about_ca_system_score_gemma":0.0005742317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001029559,"about_ca_topic_score_gemma":0.001104102,"domain_scores_codex":[0.9985575,0.0003814133,0.0003368576,0.0003109336,0.0002454551,0.000167801],"domain_scores_gemma":[0.9948428,0.0009389197,0.003150825,0.0002240658,0.0003847981,0.0004585124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004778613,0.000112009,0.9971979,0.00002381428,0.00006180685,0.0002007173,0.0001017935,0.00003284785,0.0003142822,0.00001215156,0.00002868904,0.00143619],"study_design_scores_gemma":[0.00004306089,0.002039933,0.9941267,0.00002250683,0.0001301142,0.001759152,0.000799746,0.0001475908,0.0004679601,0.00001605108,0.0004369435,0.00001033962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994186,0.0003277789,0.00008206539,0.000007520456,0.000003231825,0.00001856928,0.00004349844,9.078553e-7,0.00009779684],"genre_scores_gemma":[0.9995824,0.0001293945,0.0001117719,0.00002403605,0.000007524844,0.00001590432,0.00009942429,0.000001393853,0.00002829385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001582454,"threshold_uncertainty_score":0.008368969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01977228208249592,"score_gpt":0.2895554470954991,"score_spread":0.2697831650130031,"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."}}