Psoriasis and Psoriatic Arthritis Video Project: An Update from the 2010 GRAPPA Annual Meeting
Bibliographic record
Abstract
Changes in severity of psoriasis and psoriatic arthritis (PsA) are assessed in clinical trials by a variety of physical examination instruments. At the 2010 annual meeting of the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA), members were updated on the development and availability of modules that teach these instruments. Web-based interactive multimedia presentations for psoriasis assessments have been completed, including modules for Psoriasis Area and Severity Index and Body Surface Area, 5-point and 6-point Physician Global Assessment, the original and modified Nail Psoriasis Severity Index, the Palmar-Plantar Pustular Psoriasis Area and Severity Index, and the Psoriasis Scalp Severity Index. Rheumatology modules will include assessment of tender and swollen joints, and evaluations of enthesitis, dactylitis, and axial disease. Each module will include the background and rationale for each tool, demonstration video of each examination, diagrams and photographs to emphasize teaching points, and an optional examination at the end. The rheumatology modules have been recorded but were not yet available for review at the meeting. The dermatology modules are currently in use by pharmaceutical and biotechnology companies engaged in research on treatments for psoriasis and PsA. The next phase of this project includes analysis of interobserver reliability, translation into languages other than English for international users, and other proposed studies.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 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".