{"id":"W3025724572","doi":"10.1101/2020.05.12.20099879","title":"Early Safety Indicators of COVID-19 Convalescent Plasma in 5,000 Patients","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Blood groups and transfusion","field":"Medicine","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Allergy and Infectious Diseases; Mayo Clinic; Natural Sciences and Engineering Research Council of Canada; Biomedical Advanced Research and Development Authority; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Takeda Oncology; U.S. Department of Health and Human Services","keywords":"Medicine; Convalescent plasma; Transfusion-related acute lung injury; Incidence (geometry); Adverse effect; Coronavirus disease 2019 (COVID-19); Intensive care unit; Population; Mortality rate; Intensive care medicine; Transfusion reaction; Emergency medicine; Blood transfusion; Internal medicine; Lung; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001745392,0.0002353029,0.0002979559,0.0004470597,0.0002245279,0.0005565945,0.0002067187,0.0002347302,0.0008805861],"category_scores_gemma":[0.00495943,0.00009525064,0.0004709804,0.0003964147,0.0001403211,0.0004025819,0.0003552059,0.0005438148,0.0001239612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004365025,"about_ca_system_score_gemma":0.0003792701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006745147,"about_ca_topic_score_gemma":0.0006711339,"domain_scores_codex":[0.9990414,0.0002321547,0.0002147191,0.0001503881,0.0002586607,0.0001026756],"domain_scores_gemma":[0.995878,0.0006909433,0.002404132,0.0001956099,0.0005069504,0.0003243737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006277554,0.00004753481,0.9939434,0.00002468798,0.00006525211,0.00007664924,0.00005551094,0.0003033919,0.0003437711,0.00003705038,0.000281942,0.004193104],"study_design_scores_gemma":[0.00002433449,0.001330467,0.9955766,0.00001613618,0.00005701172,0.000357872,0.000109788,0.001263097,0.0006249108,0.00005201725,0.0005803536,0.000007452851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978399,0.0003091065,0.0004429418,0.00006753582,0.000007547329,0.00003381524,0.0007771121,0.00001495563,0.0005071099],"genre_scores_gemma":[0.9985581,0.00007798395,0.0002369964,0.00003671059,0.00001322824,0.00002295849,0.0009733941,0.000002073378,0.00007856592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001745392,"threshold_uncertainty_score":0.009230614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207092240775996,"score_gpt":0.2693674653762482,"score_spread":0.2486582412986486,"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."}}