Bibliographic record
Abstract
This month I have selected 4 articles published in The Journal of Rheumatology during the 1990s that I feel are worthy of a second look by our readers. I have selected 4 articles, rather than my customary 3, as 2 of the articles are related and were published in the same issue of The Journal as companion articles from the same group and address measurements in ankylosing spondylitis. The companion articles are the original descriptions of the Bath Ankylosing Spondylitis Functional Index (BASFI) by Calin et al1 and the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) by Garrett et al,2 both of which have been standard measures for patients with spondyloarthritis (SpA). The other 2 articles are (1) a validation study by Clements et al3 showing that the modified Rodnan total skin thickness score is a valid and reliable measurement instrument to measure skin thickness, which is still used in clinical practice and for research studies in systemic sclerosis; and (2) classification criteria for adult-onset Still’s … Address correspondence to Dr. E.D. Silverman, Editor-in-Chief, The Journal of Rheumatology, 365 Bloor Street East, Suite 901, Toronto, ON M4W 3L4, Canada. Email: esilverman{at}jrheum.com.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.048 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.017 | 0.011 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.017 | 0.022 |
| Insufficient payload (model declined to judge) | 0.033 | 0.028 |
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".