GRAPPA at the European League Against Rheumatism (EULAR) 2008
Bibliographic record
Abstract
Launched in the summer of 2003, the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) is a nonprofit organization committed to advancing research and understanding of the assessment and treatment of psoriasis and psoriatic arthritis (PsA). This effort meets the need of helping rheumatologists recognize skin symptoms and helping dermatologists recognize joint symptoms for earlier diagnosis and more appropriate treatment of this disease, which affects millions of people throughout the world. GRAPPA members meet several times a year to discuss issues relevant to the organization’s objectives. There are 2 meetings a year adjacent to major rheumatology meetings: the American College of Rheumatology (ACR), which takes place in North America, and the European League Against Rheumatism (EULAR), which takes place in Europe; and adjacent to major dermatology meetings: the American Academy of Dermatology (AAD) in North America and the European Academy for Dermatology and Venereology (EADV) in Europe. Our report summarizes the recent GRAPPA meeting at EULAR, June 11, 2008, at the Paris Convention Center. This meeting was dedicated to defining psoriatic spondylitis. The prevalence of spinal involvement in patients with PsA has varied from 25% to 70%1. The wide variation is due to the lack of a common definition for psoriatic spondylitis. The agenda included presentations by a number of GRAPPA members followed by breakout groups and discussion. Philip Helliwell, of Leeds, UK, presented the background and issues to be addressed by the group. He pointed out that there have been 2 general approaches to the diagnosis of psoriatic spondylitis. One uses the criteria for ankylosing spondylitis (AS), which rely on the presence of signs and symptoms of inflammatory back pain and limitation of lumbar mobility as well as the presence of either bilateral grade 2 or unilateral grade 3 or 4 sacroiliitis. The other …
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.037 | 0.028 |
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".