Bibliographic record
Abstract
Thirty-five years after the hallmark "Moll and Wright" publication, the rheumatology community continues to debate both classification criteria and subgroup analysis of this fascinating yet heterogeneous disease, psoriatic arthritis (PsA). Although Moll and Wright noted the predominant subgroup to be oligoarticular, using tighter definitions for each of the subgroups, historical archives suggest that a majority of their patients had polyarticular disease. One subgroup, arthritis mutilans, remains to be defined clinically, but data from the CASPAR study have been useful as a starting point. Both dactylitis and enthesitis are hallmark features of PsA, and new data on these manifestations are appearing. Dactylitis appears to be a severity marker not only within the affected digit but for the disease as a whole. Enthesitis remains an elusive clinical feature: recent data confirmed the poor association between clinical and ultrasonographic enthesitis in PsA. Finally, spinal disease in PsA is qualitatively and quantitatively different from classical ankylosing spondylitis, and a new scoring system combines elements of the BASRI and mSASSS to give a new modified index.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".