{"id":"W3198290682","doi":"10.1111/trf.16661","title":"Blood shortages planning in Canada: <scp>The National Emergency Blood Management Committee</scp> experience during the first 6 months of the <scp>COVID</scp>‐19 pandemic","year":2021,"lang":"en","type":"article","venue":"Transfusion","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; University of British Columbia; University of Alberta; University of Saskatchewan","funders":"","keywords":"Pandemic; Economic shortage; Business; Preparedness; Coronavirus disease 2019 (COVID-19); Blood transfusion; Distribution (mathematics); Blood management; Medical emergency; Operations management; Medicine; Government (linguistics); Economics; Immunology; Disease; Management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006802288,0.0002762839,0.0002349581,0.0001400685,0.00102524,0.0001249265,0.0007899533,0.00008113947,0.0001886793],"category_scores_gemma":[0.0003267428,0.0001802438,0.0001438115,0.001221589,0.00008618097,0.0006219741,0.0002048807,0.000447483,0.000006632138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007039333,"about_ca_system_score_gemma":0.0002031395,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08152059,"about_ca_topic_score_gemma":0.5165846,"domain_scores_codex":[0.9972928,0.00008796963,0.000641497,0.0004531,0.001125023,0.0003996781],"domain_scores_gemma":[0.9985585,0.0005363311,0.000286196,0.0003892377,0.000199352,0.00003044377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007578325,0.0003004606,0.9868316,0.0003544076,0.0001514036,0.00006051058,0.003261091,0.002616942,0.002051143,0.002568863,0.001422781,0.0003731908],"study_design_scores_gemma":[0.001867226,0.00000674617,0.8953237,0.0001669309,0.0003392872,0.00003111385,0.01336466,0.00077555,0.001396748,0.0005015965,0.08612517,0.0001012548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826398,0.0009179531,0.00004942263,0.001839289,0.0005490287,0.0005850324,0.00001259166,0.00005510691,0.0133518],"genre_scores_gemma":[0.9960564,0.001015918,0.00002441123,0.001785013,0.000182494,0.0001154191,0.00001248032,0.00002817276,0.0007796847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.435064,"threshold_uncertainty_score":0.9245957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02325196051345792,"score_gpt":0.2448782758460106,"score_spread":0.2216263153325527,"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."}}