{"id":"W3047760116","doi":"10.1016/j.cmi.2020.08.005","title":"Treatment of COVID-19 with convalescent plasma: lessons from past coronavirus outbreaks","year":2020,"lang":"en","type":"review","venue":"Clinical Microbiology and Infection","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Convalescent plasma; Coronavirus; Clinical trial; Pandemic; Randomized controlled trial; Intensive care medicine; Coronavirus disease 2019 (COVID-19); Outbreak; Adverse effect; Disease; Internal medicine; Virology; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009168133,0.0004669333,0.001659425,0.001059014,0.0004677133,0.001986286,0.001530526,0.002607724,0.003362329],"category_scores_gemma":[0.02305491,0.0001908368,0.001426198,0.0008929797,0.001268529,0.004240914,0.000917939,0.004325395,0.0007891809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383665,"about_ca_system_score_gemma":0.003394818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001938837,"about_ca_topic_score_gemma":0.004234691,"domain_scores_codex":[0.9976587,0.001273183,0.0004168455,0.0001981245,0.0003599394,0.00009327444],"domain_scores_gemma":[0.982944,0.01203171,0.001454658,0.0005519583,0.002359034,0.0006587625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008662877,0.0002970269,0.001696675,0.03605332,0.0005439418,0.0008097543,0.0005380019,0.0003767635,0.0004953109,0.007494411,0.05887963,0.8919489],"study_design_scores_gemma":[0.001510808,0.002713375,0.008112316,0.1070018,0.002152774,0.003700648,0.00207923,0.00063749,0.001278718,0.02771219,0.8429379,0.0001627195],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001739086,0.9558809,0.0005735082,0.03757118,0.002017622,0.00002604899,0.00008122069,0.00001838991,0.002092042],"genre_scores_gemma":[0.01985619,0.9558245,0.002253329,0.01617227,0.004969441,0.00008391984,0.0001058141,0.00002721528,0.0007072702],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009168133,"threshold_uncertainty_score":0.04848629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.208078416598704,"score_gpt":0.4798501545621985,"score_spread":0.2717717379634945,"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."}}