Dr. Charles-Schoeman and E. Bananis Reply
Bibliographic record
Abstract
To the Editor: We thank Professor Boers for his interest1 in our study2 and are grateful for the opportunity to respond to his queries. Our posthoc analysis investigated the effect of concomitant glucocorticoid (GC) use on clinical and radiographic outcomes in phase III studies of methotrexate (MTX)-naive patients receiving tofacitinib or MTX as monotherapy (ORAL Start), disease-modifying antirheumatic drug (DMARD)–inadequate responder (IR) patients receiving tofacitinib or placebo as monotherapy (ORAL Solo), and MTX-IR and DMARD-IR patients receiving tofacitinib or placebo in combination with background conventional synthetic DMARD (ORAL Sync, ORAL Standard, ORAL … Address correspondence to E. Bananis, 235 E. 42nd St., New York, New York 10017, USA. E-mail: stratis.bananis{at}pfizer.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 | 0.003 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.018 | 0.023 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".