The Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) Celebrates Its 20th Anniversary
Bibliographic record
Abstract
The Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) started in August 2003 with 40 initial participants and celebrated its 20th anniversary with 1036 members, many of whom attended the annual meeting in Dublin, Ireland, on July 15 to 17, 2023. GRAPPA arose from a need experienced by psoriatic arthritis (PsA) and psoriasis (PsO) investigators to meet to address questions related to psoriatic disease (PsD). Though other groups were meeting at the time to classify and discuss PsA, GRAPPA arose from a desire to include international clinical and investigational researchers of both dermatology and rheumatology. The organization has built awareness of PsO and PsA, developed and validated research assessment tools to measure clinical status and disease outcomes, published multiple treatment recommendations, supported basic and clinical research on PsD pathophysiology, fostered interactions across research fields, and educated the future generation of PsO and PsA researchers. The group continues to focus on major priorities affecting patients with PsD and will continue evolving in the next decades.
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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 | 0.017 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.008 | 0.012 |
| Insufficient payload (model declined to judge) | 0.016 | 0.016 |
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".