{"id":"W4411012206","doi":"10.1111/vox.70055","title":"Blood donor characteristics and blood safety before and during the <scp>COVID</scp>‐19 pandemic: A <scp>BEST</scp> Collaborative international survey","year":2025,"lang":"en","type":"article","venue":"Vox Sanguinis","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; Héma-Québec","funders":"","keywords":"Pandemic; Medicine; Blood donations; Donation; Blood donor; Coronavirus disease 2019 (COVID-19); Immunology; Infectious disease (medical specialty); Disease; Internal medicine; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001019142,0.0002966835,0.0003073987,0.0003120429,0.0006858191,0.0008863107,0.0003457888,0.000151254,0.00006701837],"category_scores_gemma":[0.003488519,0.0002367403,0.00005676214,0.0008261693,0.0001835952,0.0008859696,0.0003163171,0.0003281079,0.00002968882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001965739,"about_ca_system_score_gemma":0.00009628542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006084442,"about_ca_topic_score_gemma":0.001988725,"domain_scores_codex":[0.9982935,0.00009482659,0.0004701513,0.0004987781,0.0003332471,0.0003095341],"domain_scores_gemma":[0.9975724,0.001268579,0.0003810584,0.0002630349,0.0004659489,0.00004898846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002326644,0.0002295904,0.9886411,0.0001773975,0.0004285436,0.00002476196,0.001047593,0.000001784243,0.0003378275,0.005095592,0.001140961,0.002851511],"study_design_scores_gemma":[0.00219366,0.00002117399,0.7598877,0.00006441712,0.0003925886,0.00002164022,0.001846275,0.000183261,0.00005178617,0.000462744,0.2348112,0.00006349112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810002,0.0006294873,0.00007670843,0.0008682913,0.00063592,0.0004543586,0.0002242689,0.0001389003,0.01597182],"genre_scores_gemma":[0.9910975,0.00090159,0.000122937,0.002821545,0.0005065752,0.00004844789,0.0001515781,0.00003061671,0.004319206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2336703,"threshold_uncertainty_score":0.9653989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495760071093217,"score_gpt":0.257173465480149,"score_spread":0.2422158647692169,"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."}}