{"id":"W4417016379","doi":"10.1182/blood-2025-2648","title":"Inclusive practices for safe and equitable donor assessment","year":2025,"lang":"en","type":"article","venue":"Blood","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services","funders":"","keywords":"Donation; Deferral; Health equity; Equity (law); Health care; Best practice; Transplantation","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2447442,0.001524357,0.001184557,0.005557538,0.008257715,0.01123316,0.007747255,0.007857447,0.009826859],"category_scores_gemma":[0.2654521,0.001419869,0.002534551,0.002390881,0.00925226,0.01315057,0.02862757,0.01400817,0.007226709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007564269,"about_ca_system_score_gemma":0.06422117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008762398,"about_ca_topic_score_gemma":0.01104875,"domain_scores_codex":[0.7046646,0.2123391,0.02688696,0.007721064,0.04002138,0.008366845],"domain_scores_gemma":[0.6914833,0.1251281,0.02219685,0.03795275,0.09498429,0.02825476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001279365,0.001131381,0.0217148,0.003556662,0.0001487101,0.001941715,0.05879815,0.003085488,0.002418919,0.0531081,0.3275133,0.5264548],"study_design_scores_gemma":[0.0001004102,0.0002877528,0.01560249,0.01908016,0.00009767387,0.001700136,0.03463076,0.00236829,0.002754269,0.0822005,0.8408524,0.0003251297],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03050888,0.008290839,0.3073454,0.47721,0.005239982,0.01250003,0.0008334826,0.002747847,0.1553235],"genre_scores_gemma":[0.2188924,0.01063327,0.6430995,0.09049114,0.001815859,0.01440518,0.001170663,0.0008399596,0.01865203],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2447442,"threshold_uncertainty_score":0.9313649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001885315081724,"score_gpt":0.3621489414667816,"score_spread":0.3421300883159644,"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."}}