Prologue: 2013 Annual Meeting of the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA)
Bibliographic record
Abstract
The 2013 Annual Meeting of the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) was held in July 2013 in Toronto, Canada, and attended by rheumatologists, dermatologists, and representatives of biopharmaceutical companies and patient groups. We introduce the articles that summarize the meeting: A summary of a GRAPPA-organized Fellows Symposium adjacent to the 2013 European Academy of Dermatology and Venereology meeting in Istanbul; at the GRAPPA meeting proper, proceedings of a trainee symposium, where rheumatology fellows and dermatology residents presented their research; a summary of experiences and perspectives of psoriasis and psoriatic arthritis (PsA) research of 8 patient research partners with PsA who were invited to participate as delegates. Other presentations and discussions included an interactive session on composite measures of disease severity and response, including voting by GRAPPA members; a 3 part update of basic/translational/clinical science, including new bone formation, enthesitis pathophysiology, and comorbidity monitoring; a 3 part dermatology update on psoriasis outcome measures, the Brigham Scalp Nail Inverse Palmoplantar Psoriasis Composite Index, and large-scale databases; a short summary of the ongoing GRAPPA effort to update treatment guidelines for PsA; updates on several GRAPPA educational and rheumatology-related projects; and a discussion of clinical criteria to identify inflammatory arthritis, enthesitis, dactylitis, and spondylitis as distinguished from non-inflammatory conditions.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.158 | 0.105 |
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".