The Polysymptomatic Distress Scale Is Simple, Useful, and Effective in Clinical Care and Clinical and Epidemiology Studies
Bibliographic record
Abstract
To the Editor: The Friend and Bennett editorial1 in a recent issue of The Journal continues a quarrel with the 2010 American College of Rheumatology (ACR) Preliminary Diagnostic Criteria for Fibromyalgia (FM)2 and the followup research criteria of 20113 that was begun by Bennett shortly after first publication, and which has continued to date. It has taken the form of vigorous opposition to the acceptance and publication of our work during the manuscript review process, in disapprobation in editorials and interviews, and in articles opposed to our work. They label the many-authored 2010 ACR criteria and the 2011 modification as “Dr. Wolfe’s diagnostic criteria for fibromyalgia” in this editorial and the “Wolfe criteria” elsewhere. We know of no other ACR criteria currently in use that is referred to by the author’s name. Friend and Bennett’s objection to the Polysymptomatic … Address correspondence to Dr. F. Wolfe, National Data Bank for Rheumatic Diseases, 1035 N. Emporia, Ste. 230, Wichita, Kansas 67214, USA. E-mail: fwolfe{at}arthritis-research.org
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 | 0.017 | 0.113 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.011 | 0.017 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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".