{"id":"W4383373591","doi":"10.21203/rs.3.rs-3126221/v1","title":"Cost-Effectiveness of Convalescent Plasma for COVID-19:  A Cost-effectiveness Analysis of the CONCOR-1 Randomized Trial","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston Health Sciences Centre; Centre Hospitalier de l’Université de Montréal; University of Ottawa; Université Laval; Héma-Québec; Sunnybrook Health Science Centre; Canadian Institutes of Health Research; University of Waterloo; Centre Hospitalier Universitaire Sainte-Justine; McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Randomized controlled trial; Randomization; Convalescent plasma; Population; Health care; Clinical trial; Emergency medicine; Coronavirus disease 2019 (COVID-19); Internal medicine; Disease; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01261245,0.001662163,0.003801106,0.0008829386,0.0004169291,0.001808498,0.001987743,0.001944888,0.005108259],"category_scores_gemma":[0.02286276,0.0005856826,0.007936657,0.001059638,0.001107977,0.001230865,0.0009729048,0.003230569,0.0002703191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006655573,"about_ca_system_score_gemma":0.004995463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01681317,"about_ca_topic_score_gemma":0.01547284,"domain_scores_codex":[0.9827137,0.01435902,0.0005751537,0.0008422586,0.0008068673,0.0007029181],"domain_scores_gemma":[0.9879025,0.007167939,0.002281329,0.0006412676,0.0008314962,0.001175342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.9518291,0.001322566,0.003799734,0.003166248,0.01214225,0.00009045789,0.00003912607,0.004233534,0.0002467983,0.001343667,0.002586558,0.01920003],"study_design_scores_gemma":[0.908721,0.03706551,0.01114568,0.001179485,0.02177614,0.0001215774,0.0001459379,0.01478248,0.0004712716,0.002075237,0.002387888,0.0001278331],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9233376,0.04281883,0.003505324,0.00466441,0.001142113,0.008448846,0.00792837,0.0001584725,0.007996065],"genre_scores_gemma":[0.9874783,0.003115183,0.002181508,0.0009624286,0.0002807076,0.002584834,0.002426757,0.00001792937,0.0009523556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01681317,"threshold_uncertainty_score":0.06670177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7016763925791552,"score_gpt":0.5904288986663528,"score_spread":0.1112474939128023,"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."}}