{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00187202,0.0001791841,0.0002226897,0.001083595,0.0004420611,0.0006229687,0.0004073682,0.0004463994,0.002352361],"category_scores_gemma":[0.003800459,0.0002125051,0.0002785228,0.001849242,0.00028273,0.0007942288,0.000791418,0.0006568391,0.0005303372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006216312,"about_ca_system_score_gemma":0.0007959506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.016972,"about_ca_topic_score_gemma":0.01589924,"domain_scores_codex":[0.9989813,0.0002379613,0.0001646611,0.0001548051,0.0002218644,0.0002394108],"domain_scores_gemma":[0.9952139,0.0005198152,0.002467564,0.0002130769,0.0006516247,0.0009340087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000323503,0.00002496623,0.9969167,0.00001887023,0.00001529232,0.00001927705,0.0002172053,0.00003394161,0.00004143111,0.0000240151,0.001368221,0.001287632],"study_design_scores_gemma":[0.000001931457,0.00004424197,0.9981863,0.00003153742,0.000006608801,0.0000975118,0.0007463737,0.0000533008,0.00003898161,0.00001100425,0.0007775101,0.000004769237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889409,0.0003762371,0.0001355538,0.0005008791,0.00001265149,0.00004383161,0.008538343,0.000008273139,0.001443396],"genre_scores_gemma":[0.9936347,0.0005426377,0.0001500223,0.0002694981,0.00001843147,0.00006824924,0.004890866,0.000005908122,0.0004196616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.016972,"threshold_uncertainty_score":0.03374642,"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."}}