{"id":"W3090015418","doi":"10.1182/blood.2020008367","title":"Waning of SARS-CoV-2 RBD antibodies in longitudinal convalescent plasma samples within 4 months after symptom onset","year":2020,"lang":"en","type":"letter","venue":"Blood","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Centre Hospitalier Universitaire Sainte-Justine; McGill University; Centre Hospitalier de l’Université de Montréal; Université de Montréal; Héma-Québec","funders":"Canadian Institutes of Health Research","keywords":"Convalescent plasma; Antibody; Seroprevalence; Virology; Titer; Coronavirus disease 2019 (COVID-19); Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Antibody titer; Immunology; 2019-20 coronavirus outbreak; Neutralizing antibody; Serology; Internal medicine; Disease; Outbreak; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002809676,0.0006206867,0.001398538,0.0005906069,0.00005559903,0.00005750959,0.0004265143,0.0006575544,0.00002118138],"category_scores_gemma":[0.0004339815,0.0005093402,0.0003518277,0.0003872003,0.0004110321,0.00009164957,0.0002968714,0.00197293,0.0001156402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001310028,"about_ca_system_score_gemma":0.0006437545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005388709,"about_ca_topic_score_gemma":0.0002970348,"domain_scores_codex":[0.9959525,0.0001829783,0.0009206242,0.0009478721,0.001171104,0.000824846],"domain_scores_gemma":[0.9983137,0.0004405341,0.0002954959,0.0007036791,0.0002018395,0.00004476515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001231785,0.0005625613,0.8286815,0.00367148,0.0009673669,0.0180499,0.001281098,1.029902e-7,0.05786737,0.00001225921,0.08744667,0.0002279359],"study_design_scores_gemma":[0.01112772,0.001101523,0.04431614,0.00683178,0.001088726,0.0006376508,0.0001988455,0.00005714688,0.7350233,0.0001659565,0.198245,0.001206272],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413669,0.001286267,0.00001717199,0.05514945,0.0002331665,0.000856258,0.0003900054,0.0001025093,0.0005983224],"genre_scores_gemma":[0.5650781,0.0000331824,0.0003487172,0.4330411,0.001173843,0.000101036,0.00007295176,0.0001196384,0.00003140045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7843654,"threshold_uncertainty_score":0.9997358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06558870194330219,"score_gpt":0.3281227144474572,"score_spread":0.262534012504155,"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."}}