ASE-1: an autoantigen in systemic lupus erythematosus
Bibliographic record
Abstract
ASE-1 is a 55 kDa nucleolar autoantigen. We show that autoantibodies to this antigen occur at a higher frequency in the sera of patients with SLE than in other systemic rheumatic diseases and that the specificity of ASE-1 as a serum marker of SLE increases as the number of epitopes recognized by the sera increases. Autoantibodies to ASE-1 were temporally associated with autoantibodies to HsEg5 but were not found in conjunction with other known serum markers of SLE. The frequency of antibodies to ASE-1 epitopes in a SLE cohort was approximately the same as anti-dsDNA. However, anti-dsDNA is associated with renal involvement, whereas ASE-1 reactivity shows an association with a history of serositis. We conclude that ASE-1 is correlated with serositis and that ASE-1 should be added to a list of autoantigens that are considered important serological features of SLE.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".