{"id":"W4220830478","doi":"10.1002/eji.202149491","title":"Altered IgG glycosylation at COVID‐19 diagnosis predicts disease severity","year":2022,"lang":"en","type":"article","venue":"European Journal of Immunology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Aging; Medicines for Malaria Venture","keywords":"Glycome; Immunology; Glycan; Antibody; Immune system; Glycosylation; Immunoglobulin G; Disease; Biomarker; Sialic acid; Pathogenesis; Immunity; Biology; N-Acetylneuraminic acid; Coronavirus disease 2019 (COVID-19); Medicine; Glycoprotein; Internal medicine; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002973977,0.0003257208,0.0002067526,0.0004424746,0.0001550335,0.0004373761,0.0001142346,0.0003362787,0.001590311],"category_scores_gemma":[0.0005454445,0.00008988867,0.0002078867,0.000318635,0.0002195729,0.0001992325,0.0002723236,0.0003998936,0.0002485948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002058539,"about_ca_system_score_gemma":0.0001071093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001070675,"about_ca_topic_score_gemma":0.0008906543,"domain_scores_codex":[0.999818,0.00004732778,0.0000181302,0.00003873464,0.00003358767,0.0000442534],"domain_scores_gemma":[0.9997646,0.000046091,0.00009181198,0.00002006518,0.00002836188,0.00004905604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001017747,0.00004731724,0.9408024,0.00003427397,0.00006339269,0.0003461726,0.00008349103,0.0001888132,0.05038641,0.00007238299,0.0001733644,0.006784305],"study_design_scores_gemma":[0.00000521807,0.0002002951,0.9923841,0.000009572216,0.0000277703,0.0008358951,0.00008869175,0.0005722797,0.005431109,0.00007961734,0.0003616248,0.000003706668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981493,0.0004291807,0.0003025995,0.00003322225,0.0000075472,0.000007646527,0.0001886107,0.000009656561,0.000872304],"genre_scores_gemma":[0.9992936,0.0001084642,0.0002021595,0.00001993093,0.000005260226,0.000002022885,0.0001892579,0.000001944829,0.0001774291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001590311,"threshold_uncertainty_score":0.005320132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03938690088613574,"score_gpt":0.3008917202095859,"score_spread":0.2615048193234502,"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."}}