{"id":"W3096972674","doi":"10.1128/jcm.01731-20","title":"Highly Sensitive and Specific Multiplex Antibody Assays To Quantify Immunoglobulins M, A, and G against SARS-CoV-2 Antigens","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of Allergy and Infectious Diseases; Ministerio de Ciencia e Innovación","keywords":"Multiplex; Virology; Serology; Antibody; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus; Antigen; Immunology; Pandemic; Coronavirus disease 2019 (COVID-19); Biology; Medicine; Disease; Infectious disease (medical specialty); Bioinformatics","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":[0.002354764,0.001632036,0.0007902363,0.001412777,0.0002609247,0.0006881479,0.0007485985,0.0009689175,0.0009352575],"category_scores_gemma":[0.00144337,0.00041759,0.0006254534,0.0008394843,0.0004001773,0.0005574509,0.0006264873,0.0007604343,0.0006607894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004109398,"about_ca_system_score_gemma":0.0002250798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003747676,"about_ca_topic_score_gemma":0.0006732357,"domain_scores_codex":[0.9977791,0.0005289618,0.0001493994,0.0005643672,0.0007830345,0.0001952154],"domain_scores_gemma":[0.9990367,0.0003179798,0.0002404444,0.00007915467,0.000269193,0.00005662202],"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":[0.0001463436,0.0002204739,0.009283826,0.0002772603,0.0001051096,0.00004752303,0.00008246653,0.00125648,0.9532681,0.0002649502,0.0005821072,0.03446529],"study_design_scores_gemma":[0.00004245824,0.001289085,0.02622879,0.00005035064,0.0001218398,0.0006373728,0.00009951104,0.02465881,0.9416379,0.0006170415,0.004552655,0.00006414837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.648411,0.007537838,0.332954,0.0003085296,0.0002674469,0.0008425329,0.002477894,0.002304125,0.004896563],"genre_scores_gemma":[0.7642601,0.002309302,0.2257124,0.0005720688,0.0001624931,0.0009197355,0.001780378,0.00004802507,0.004235384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002354764,"threshold_uncertainty_score":0.01245338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1260734663400916,"score_gpt":0.4071723534015037,"score_spread":0.2810988870614121,"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."}}