{"id":"W3026628563","doi":"10.1111/bjh.16736","title":"Triage tool for the rationing of blood for massively bleeding patients during a severe national blood shortage: guidance from the National Blood Transfusion Committee","year":2020,"lang":"en","type":"article","venue":"British Journal of Haematology","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Economic shortage; Triage; Rationing; Medicine; Blood transfusion; Pandemic; Intensive care medicine; Medical emergency; Transfusion medicine; Blood supply; Business; Health care; Coronavirus disease 2019 (COVID-19); Emergency medicine; Surgery; Economics","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":[0.03149449,0.001261692,0.001407574,0.00380221,0.002975502,0.005748404,0.00404132,0.01157364,0.008168166],"category_scores_gemma":[0.07394227,0.001078064,0.001718508,0.001780156,0.003035732,0.003893472,0.004749465,0.01015702,0.008799311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007457219,"about_ca_system_score_gemma":0.06284063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04521015,"about_ca_topic_score_gemma":0.06294564,"domain_scores_codex":[0.9681465,0.01641553,0.004291124,0.00059099,0.008372529,0.002183261],"domain_scores_gemma":[0.9374335,0.02085616,0.005143527,0.001699853,0.02673781,0.008129082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005298378,0.0001992487,0.001545345,0.0003203648,0.00001467106,0.0004883988,0.001891821,0.001318331,0.000368066,0.008530151,0.9179362,0.0673343],"study_design_scores_gemma":[0.0001315007,0.0001576629,0.00382127,0.003122393,0.00003340628,0.0005991911,0.002241104,0.002120246,0.0004605794,0.009365983,0.9777858,0.0001609334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.00522256,0.01302883,0.0503612,0.7886043,0.01054017,0.006132633,0.001274533,0.002245403,0.1225905],"genre_scores_gemma":[0.07217434,0.03267603,0.5604723,0.1674639,0.006381135,0.01193312,0.003790063,0.0009493814,0.1441597],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04521015,"threshold_uncertainty_score":0.1665607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02688763157647418,"score_gpt":0.2467420349619851,"score_spread":0.219854403385511,"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."}}