Report of the Skin Research Workgroups from the GRAPPA 2018 Annual Meeting
Bibliographic record
Abstract
At the 2018 annual meeting of the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA), the International Dermatology Outcome Measures (IDEOM) Psoriasis Working Group presented an overview of its efforts to enhance clinical care and research in both the clinical setting as well as in clinical trials for psoriasis. First, the group discussed the results of a Delphi survey conducted in collaboration with the American Academy of Dermatology to agree on a unique physician-reported global assessment to measure the quality of care delivered to patients with psoriasis and other chronic inflammatory dermatoses. Second, the group summarized its efforts to select outcome measures for "PsA symptoms" and "treatment satisfaction," 2 of the domains of the psoriasis core domain set that were established by IDEOM. Finally, the Psoriasis and Psoriatic Arthritis Clinics Multicenter Advancement Network (PPACMAN) presented an update on its clinical, educational, and research missions to foster the development of combined clinics for psoriatic disease, increase disease awareness, and accelerate management.
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 | 0.031 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.026 | 0.010 |
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".