{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001007055,0.0001343043,0.0002949269,0.0002217866,0.0004002267,0.00001248284,0.0002969058,0.00001624718,0.004031659],"category_scores_gemma":[0.0007251773,0.0001117995,0.0001877872,0.0002098504,0.0001688645,0.00007333573,0.0005092305,0.0006432645,0.0001176089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003180083,"about_ca_system_score_gemma":0.0003339401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002159434,"about_ca_topic_score_gemma":0.000002063605,"domain_scores_codex":[0.997305,0.001213509,0.0005080874,0.0001767262,0.0005033206,0.0002934092],"domain_scores_gemma":[0.9986148,0.0001939234,0.0003102591,0.0002339058,0.0001742114,0.0004728683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.05398854,0.002218727,0.6422358,0.0003515937,0.001855386,0.03293083,0.002919548,0.0007887368,0.02823965,0.0004952204,0.1680502,0.06592576],"study_design_scores_gemma":[0.002075746,0.001643743,0.4702681,0.00002420285,0.00007106764,0.002462042,0.00007438643,0.00006786438,0.0002220901,0.00007320091,0.522923,0.00009453486],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780828,0.005094569,0.0000769522,0.01349987,0.0006310455,0.0001637958,0.00008043092,0.00002163545,0.002348875],"genre_scores_gemma":[0.9931471,0.001281201,0.0001561163,0.001833956,0.0004381685,0.000006842526,0.00006867315,0.00002793166,0.003039992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3548728,"threshold_uncertainty_score":0.9968788,"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."}}