Is Screening for Hepatitis Necessary in Diagnostic Evaluation of Rheumatoid Arthritis in South Korea?
Bibliographic record
Abstract
To the Editor: We read with interest the article by Guennoc, et al 1 reporting that seroprevalences of hepatitis B (HBV) and hepatitis C (HCV) in patients with recent-onset polyarthritis who were suspected of rheumatoid arthritis (RA), were very low and were not different compared to the general population. Thus, they proposed that serological testing for HBV and HCV is unnecessary in routine diagnostic evaluation for these patients. Currently in our institution, simultaneous serological testing for HBV and HCV and even hepatitis A (HAV) is performed on patients suspected of RA as part of a routine diagnostic evaluation. We performed this study to also check the usefulness of such routine diagnostic evaluation of hepatitis. We investigated the hepatitis test results in patients … Address correspondence to Dr. T-Y. Kim; E-mail: tykim{at}hanyang.ac.kr
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.012 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".