{"id":"W4290087510","doi":"10.1016/j.intimp.2022.109115","title":"Corrigendum to “De-sialylated and sialylated IgG anti-dsDNA antibodies respectively worsen and mitigate experimental mouse lupus proteinuria and possible mechanisms” [Int. Immunopharmacol. 109 (2022) 108837]","year":2022,"lang":"en","type":"erratum","venue":"International Immunopharmacology","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Children's Hospital","funders":"","keywords":"Antibody; Immunology; Proteinuria; Systemic lupus erythematosus; INT; Anti-dsDNA antibodies; Immunoglobulin G; Chemistry; Lupus erythematosus; Medicine; Endocrinology; Internal medicine; Disease; Kidney","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":[0.001888362,0.001982832,0.002245167,0.003035309,0.003378171,0.003319877,0.00287316,0.00759587,0.1442856],"category_scores_gemma":[0.01370075,0.001179039,0.001996917,0.001675481,0.001647375,0.001803031,0.001860406,0.007348223,0.1078742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004048395,"about_ca_system_score_gemma":0.003914075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02892871,"about_ca_topic_score_gemma":0.04841128,"domain_scores_codex":[0.9974411,0.0002412418,0.0002968808,0.0003944005,0.001293251,0.0003332139],"domain_scores_gemma":[0.992455,0.001471701,0.0003478726,0.0004088609,0.00449601,0.0008206099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001312081,0.000007407088,0.00002055016,0.00003625295,0.000003705259,0.0001007781,0.000004293858,0.00001121623,0.00004089223,0.0001905633,0.996606,0.002965234],"study_design_scores_gemma":[0.00002842437,0.00002640777,0.0006596232,0.0000939661,0.00001993493,0.0002347859,0.00002267087,0.00009130552,0.0002500208,0.0005823937,0.9979668,0.00002354014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00008530093,0.002178353,0.0002819927,0.06605673,0.9135481,0.00005365536,0.0008331608,0.0003740157,0.01658869],"genre_scores_gemma":[0.00293919,0.008448446,0.001209011,0.1169676,0.2287068,0.0001604556,0.002120338,0.0004644311,0.6389837],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1442856,"threshold_uncertainty_score":0.4826834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01904114064429616,"score_gpt":0.3298617372098825,"score_spread":0.3108205965655864,"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."}}