{"id":"W4389220424","doi":"10.1182/blood-2023-185491","title":"“Advancing a More Inclusive Blood and Transplant System for Marginalized Groups”: Development and Evaluation of a Transfusion Medicine Health Equity and Advocacy Curriculum","year":2023,"lang":"en","type":"article","venue":"Blood","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of British Columbia; University of Manitoba; Canadian Blood Services; University of Toronto; Stem Cell Network","funders":"","keywords":"Curriculum; Donation; Health equity; Equity (law); Ethnic group; Inclusion (mineral); Health care; Medicine; Public relations; Political science; Medical education; Sociology; Gender studies; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02532228,0.0005310313,0.0005763724,0.0009273403,0.003261908,0.003509957,0.002902897,0.001788381,0.008867406],"category_scores_gemma":[0.02594944,0.0004497249,0.000949815,0.0005715643,0.001692576,0.002618611,0.008585749,0.003652863,0.001305512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01003,"about_ca_system_score_gemma":0.05280126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005396602,"about_ca_topic_score_gemma":0.01294371,"domain_scores_codex":[0.9892277,0.004597585,0.0006134265,0.0004433659,0.003063612,0.002054415],"domain_scores_gemma":[0.9792439,0.003780113,0.001677616,0.0007319705,0.00516963,0.009396751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008330998,0.07580779,0.03069274,0.006609263,0.0001008248,0.0005254695,0.04578359,0.003696359,0.005459607,0.01881112,0.07546977,0.7362103],"study_design_scores_gemma":[0.004409533,0.03225622,0.2032247,0.01463978,0.0005350656,0.0006634315,0.07134831,0.008769269,0.03358995,0.01631603,0.6137657,0.0004819089],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8701569,0.001184977,0.01207562,0.02973104,0.001230218,0.02966429,0.0009009782,0.0003825029,0.05467349],"genre_scores_gemma":[0.759023,0.003427585,0.1559122,0.01488598,0.0003499524,0.03993823,0.001510932,0.0001117831,0.02484034],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02532228,"threshold_uncertainty_score":0.1339186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03144788827476126,"score_gpt":0.3202709898345491,"score_spread":0.2888231015597879,"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."}}