Reply to Letter to Editor of Dr. Elia
Bibliographic record
Abstract
Dear Editor: We would like to thank Dr. Elia for her letter1 and interest in our paper. She makes an important point that in assessing disability in persons with inflammatory bowel disease (IBD), it would be important to assess physical function, and she provides examples of physical tests that can be administered. We agree that these could provide additional information in regards to physical strength and dexterity, which, if impaired, could contribute to disability. However, a major advantage of the IBD Disability Index (IBDDI) is that it is self-administered and conducive for administration in any clinic or in a research setting by either hard copy or electronically administered surveys. The suggested physical measures may be ancillary to the IBDDI but would require research personnel or clinic personnel. We would welcome work by Dr. Elia or others to administer both the IBDDI and the suggested physical testing to determine and document to what extent the measures are correlated.
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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 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.031 | 0.027 |
| Insufficient payload (model declined to judge) | 0.010 | 0.009 |
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".