{"id":"W4410513245","doi":"10.3899/jrheum.2025-0390.pv091","title":"ECONOMIC IMPACT AND RESOURCE UTILIZATION OF CORONAVIRUS DISEASE 2019 IN HOSPITALIZED SYSTEMIC LUPUS ERYTHEMATOSUS PATIENTS: A NATIONAL INPATIENT ANALYSIS","year":2025,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Systemic disease; Coronavirus disease 2019 (COVID-19); Disease; Intensive care medicine; Economic impact analysis; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Lupus erythematosus; 2019-20 coronavirus outbreak; Pandemic; Immunology; Virology; Internal medicine; Infectious disease (medical specialty); Outbreak; Antibody","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001315846,0.000354092,0.0005198239,0.001668915,0.0003417401,0.0009214235,0.0006495595,0.0005372925,0.001438661],"category_scores_gemma":[0.004200652,0.0003530856,0.001680459,0.002638425,0.0002193858,0.0007396608,0.001196682,0.0007476246,0.0001613451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810501,"about_ca_system_score_gemma":0.000992686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02283362,"about_ca_topic_score_gemma":0.02185676,"domain_scores_codex":[0.9984079,0.0005342315,0.0003320028,0.000170535,0.000258884,0.0002965053],"domain_scores_gemma":[0.9965496,0.000631816,0.001960671,0.0001364575,0.0002703003,0.0004511998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009903826,0.00004103673,0.998539,0.00002256176,0.0001821226,0.00004704602,0.00002417489,0.000211417,0.00001729624,0.00003110391,0.0002083737,0.0005768279],"study_design_scores_gemma":[0.00001429039,0.00007193493,0.9978229,0.00002622828,0.00007480527,0.0001351313,0.0002631489,0.001407078,0.00001972945,0.00002743144,0.0001310324,0.000006342507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977078,0.000246027,0.00004717442,0.0001017521,0.000004419688,0.00001125911,0.001668305,0.000001929848,0.000211199],"genre_scores_gemma":[0.996795,0.0002184202,0.00008324966,0.00005050908,0.00001274348,0.00002367769,0.002749091,0.000001659289,0.00006575832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02283362,"threshold_uncertainty_score":0.04540139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934656173929086,"score_gpt":0.3297053990660062,"score_spread":0.3103588373267154,"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."}}