Advancing Basic and Translational Science: Highlights From the Basic Science Workshop at the GRAPPA 2023 Annual Meeting
Bibliographic record
Abstract
Contemporary translational and clinical research advances in psoriatic disease (PsD) were highlighted at the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) 2023 annual meeting basic science workshop. This year's workshop focused on key topics, including the significance of the annual GRAPPA meetings as a platform for collaboration and knowledge exchange. Discussions centered around expanding our understanding of tumor necrosis factor inhibitor (TNFi) treatment in PsD and enhancing early detection strategies for PsD comorbidities, specifically for the timely intervention and management of cardiovascular (CV) comorbidities. Insights on the role of the C-C chemokine receptor type 6 (CCR6) in PsD and psoriatic arthritis were provided, suggesting that blockade of CCR6 can reduce psoriasis-like dermatitis and joint inflammation in mouse models.
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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 | 0.022 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.008 | 0.015 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".