{"id":"W3092247891","doi":"10.1111/vox.12944","title":"Vox Sanguinis International Forum on Hospital Transfusion Services' Response to COVID‐19: Responses","year":2020,"lang":"en","type":"article","venue":"Vox Sanguinis","topic":"Blood transfusion and management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Economic shortage; Pandemic; Medicine; Coronavirus disease 2019 (COVID-19); Blood transfusion; Dispose pattern; Medical emergency; Blood bank; Business; Demographics; Sample (material); Emergency medicine; Surgery; Pathology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004546057,0.0003456161,0.0004079705,0.0003779569,0.0001846673,0.00006885806,0.000411412,0.0001585212,0.002593396],"category_scores_gemma":[0.000664163,0.0003142779,0.0002650431,0.0005139283,0.00005873189,0.0000949712,0.0001349446,0.0003025154,0.0008880979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001251094,"about_ca_system_score_gemma":0.0001790499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001879575,"about_ca_topic_score_gemma":0.00008783737,"domain_scores_codex":[0.9972838,0.0001809457,0.0004779878,0.000757455,0.0008479054,0.0004519437],"domain_scores_gemma":[0.9979033,0.0002308774,0.00007735863,0.0005240442,0.0001302368,0.001134207],"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":[0.1895261,0.004123627,0.02234548,0.001070113,0.001349663,0.004936181,0.07990749,0.0001254477,0.1081275,0.003781611,0.4975684,0.08713839],"study_design_scores_gemma":[0.005520964,0.004298246,0.02214791,0.0001549605,0.0001433227,0.00002730183,0.004944072,0.0001308053,0.005058573,0.00004257323,0.9571341,0.0003971621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5859462,0.0001090532,0.000960858,0.4013916,0.0008685566,0.001341223,0.0001759864,0.0004084343,0.008798135],"genre_scores_gemma":[0.8687456,0.000133441,0.00116144,0.1264973,0.0004820369,0.00009935867,0.00007859665,0.00006782737,0.002734358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4595658,"threshold_uncertainty_score":0.9999309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191970133957304,"score_gpt":0.3002139209391748,"score_spread":0.2810169075434444,"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."}}