Abstracts from the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) Trainees Symposium
Bibliographic record
Abstract
On June 26, 2012, more than 30 fellows and trainees from around the world presented abstracts at the Trainees Symposium at the GRAPPA (Group for Research and Assessment of Psoriasis and Psoriatic Arthritis) Annual Meeting in Stockholm, Sweden. The symposium was developed as an opportunity for trainees and fellows in Rheumatology and Dermatology to develop their research skills through presentation and discussion of their work. The topics of the poster presentations ranged widely, reflecting many aspects of GRAPPA's work streams. Subjects included comorbidities, ethnicity in Psoriatic arthritis, nail disease, screening tools, incidence and prevalence studies, and translational research. Before the meeting, senior GRAPPA members ranked the abstracts, and the top 6 were invited to discuss their finding with a 15-minute slide presentation. The others were invited to speak for 5 to 7 minutes from posters based on their findings. This year, the 6 selected to give oral presentations were: Alex Nigg (Germany), Neha Garg (USA), Deepak Jadon (UK), Mary Ann Johnson (USA), Agnes Szentpetery (Ireland) and Zahi Touma (Canada). Professor Christopher Ritchlin, M. D., M.P.H., of the University of Rochester School of Medicine (New York) founded the GRAPPA Trainees Symposium in 2008. It has been a popular addition to the GRAPPA Annual Meeting ever since, with 15 trainees participating in 2008, 19 in 2009 and increased to 32 in 2012. Here we present the abstracts submitted by these trainees and fellows in 2012.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".