The Need to Define Musculoskeletal Inflammation: A Report from the GRAPPA 2010 Annual Meeting
Bibliographic record
Abstract
Psoriatic arthritis (PsA) is a form of spondyloarthritis, a group of conditions that share a spectrum of components including arthritis, enthesitis, dactylitis, and spine inflammation. In PsA, however, the unpredictable, heterogeneous, and often insidious involvement of joints or juxtaarticular tendons and ligaments can sometimes make clinical recognition of the disease a challenge. Underrecognition of PsA may be due to the absence of a single sensitive and specific diagnostic measure. Although the ClASsification of Psoriatic ARthritis (CASPAR) criteria introduced in 2006 have improved disease classification, they are designed to be applied to cases already diagnosed with inflammatory arthritis. Therefore, in order for these criteria to be applied, the clinician is required to recognize the presence of inflammatory arthritis, enthesitis, or spondylitis. At the 2010 annual meeting of GRAPPA (Group for Research and Assessment of Psoriasis and Psoriatic Arthritis), the need to define inflammatory arthritis, enthesitis, dactylitis, and spondylitis, especially for nonrheumatologists, was discussed. Conclusions from breakout group discussions are summarized.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".