{"id":"W3128620152","doi":"10.1016/j.celrep.2021.108790","title":"Major role of IgM in the neutralizing activity of convalescent plasma against SARS-CoV-2","year":2021,"lang":"en","type":"article","venue":"Cell Reports","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Western University; Université de Montréal; Robarts Clinical Trials; Héma-Québec; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Canada Excellence Research Chairs, Government of Canada; Fondation du CHUM; Canada Foundation for Innovation; Ministère de l'Économie, de l’Innovation et des Exportations du Québec; Canadian Institutes of Health Research; Mitacs","keywords":"Antibody; Neutralization; Convalescent plasma; Isotype; Immunology; Immunoglobulin G; Coronavirus disease 2019 (COVID-19); Neutralizing antibody; Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virus; Immunoglobulin M; Medicine; Monoclonal antibody; Internal medicine","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":[0.0003928763,0.0003256584,0.0003381088,0.0003762688,0.0002111861,0.0003755769,0.0002649538,0.0002624569,0.001833767],"category_scores_gemma":[0.000573103,0.00008918002,0.0001849145,0.00009886553,0.0001987381,0.0001737768,0.0003113573,0.000344584,0.0002928983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002073344,"about_ca_system_score_gemma":0.000231638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004498895,"about_ca_topic_score_gemma":0.0003148222,"domain_scores_codex":[0.9997786,0.0000632605,0.00001759407,0.00003191756,0.00004040783,0.00006827761],"domain_scores_gemma":[0.9996662,0.0000790678,0.00007214504,0.00003167504,0.00006687047,0.0000840846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001996923,0.000316287,0.0541966,0.00008626577,0.00006832591,0.0005119654,0.0001595617,0.0001317844,0.9212884,0.0002334546,0.0002465354,0.02076392],"study_design_scores_gemma":[0.0003524155,0.007188734,0.580564,0.0001037343,0.000288412,0.005890718,0.0004541033,0.00147013,0.3946379,0.0003781328,0.00864735,0.00002431964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974031,0.0009905698,0.0004412445,0.00005312668,0.000008675041,0.00001716227,0.0000831272,0.00002096412,0.0009820383],"genre_scores_gemma":[0.9988295,0.0001337321,0.0002483708,0.0000715806,0.0000149591,0.00001889632,0.0001790793,0.000005339232,0.000498439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001833767,"threshold_uncertainty_score":0.00613457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04120773021375276,"score_gpt":0.3258936152511019,"score_spread":0.2846858850373492,"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."}}