{"id":"W3198290682","doi":"10.1111/trf.16661","title":"Blood shortages planning in Canada: The National Emergency Blood Management Committee experience during the first 6 months of the COVID‐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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00169279,0.0004336803,0.0002172629,0.0009552376,0.01254713,0.003354759,0.00201944,0.000889687,0.004331667],"category_scores_gemma":[0.003413121,0.0004208255,0.0003144098,0.003000087,0.002315289,0.001038809,0.002143079,0.002168264,0.0003493044],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1562045,"about_ca_system_score_gemma":0.2567384,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981788,"about_ca_topic_score_gemma":0.9990477,"domain_scores_codex":[0.9981171,0.0001766626,0.0000687765,0.0001218939,0.0006518444,0.0008637821],"domain_scores_gemma":[0.9947041,0.0003562683,0.0002616141,0.00004986673,0.002199278,0.002428888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004349293,0.0005745487,0.2113135,0.0009056137,0.0001187867,0.006367203,0.07403722,0.01156096,0.002410466,0.01427834,0.3971243,0.2808742],"study_design_scores_gemma":[0.00005353023,0.0002518618,0.2866997,0.0008714349,0.00005963261,0.001395386,0.2330869,0.007507122,0.001371505,0.002173366,0.4662619,0.0002677218],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7291596,0.02027143,0.004137331,0.1226772,0.001199702,0.0004780775,0.005545312,0.0004906869,0.1160407],"genre_scores_gemma":[0.951416,0.01062096,0.004410415,0.008741671,0.0001176369,0.00005330483,0.002088333,0.0001465021,0.02240533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8437955,"threshold_uncertainty_score":0.9786832,"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."}}