{"id":"W3092477062","doi":"10.1172/jci.insight.143213","title":"Neutralizing antibody against SARS-CoV-2 spike in COVID-19 patients, health care workers, and convalescent plasma donors","year":2020,"lang":"en","type":"article","venue":"JCI Insight","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Allergy and Infectious Diseases; National Institutes of Health; National Cancer Institute; National Heart, Lung, and Blood Institute; Korea National Institute of Health; Ohio State University","keywords":"Virology; Antibody; Neutralizing antibody; Titer; Serology; Medicine; Convalescent plasma; Neutralization; Immunology; Viral load; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Lentivirus; Virus; Coronavirus disease 2019 (COVID-19); Viral disease; Infectious disease (medical specialty); Internal medicine; Disease","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000589629,0.0004061468,0.0002409528,0.000524222,0.0003928394,0.0004605185,0.0002074145,0.0004157729,0.001127201],"category_scores_gemma":[0.001446847,0.0001922785,0.0001321502,0.0002412031,0.0002500971,0.000226036,0.0003098093,0.0004873119,0.000205941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002781649,"about_ca_system_score_gemma":0.0001823598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002246525,"about_ca_topic_score_gemma":0.001847018,"domain_scores_codex":[0.9995316,0.0001148747,0.00004007996,0.0001162115,0.0001042406,0.00009302895],"domain_scores_gemma":[0.999611,0.0000946057,0.0001017658,0.00003061145,0.00007548315,0.00008660791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003791819,0.0002559272,0.9805413,0.00001785383,0.00003095802,0.0005169121,0.0003895925,0.00004385987,0.0116346,0.00004447415,0.0003692419,0.005776125],"study_design_scores_gemma":[0.00004201453,0.001102005,0.9914439,0.0000115081,0.0000233672,0.002787835,0.0006736072,0.0004614491,0.002871465,0.0000478646,0.0005270765,0.000007792592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991618,0.00007454883,0.0001345014,0.00002724266,0.000006123672,0.00002088481,0.000105991,0.000006644648,0.0004623149],"genre_scores_gemma":[0.9994988,0.00002995452,0.00009795984,0.00006100334,0.000007673437,0.00001158141,0.0001557306,0.0000012281,0.0001360943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002246525,"threshold_uncertainty_score":0.004466832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06328504858437725,"score_gpt":0.3714640605246738,"score_spread":0.3081790119402965,"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."}}