Proceedings of the 2021 GRAPPA-Collaborative Research Network (CRN) Meeting
Bibliographic record
Abstract
At the 2021 Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA)-Collaborative Research Network (CRN) annual meeting, the GRAPPA-CRN group presented a number of project updates, including a pilot investigator-initiated study to evaluate liquid and tissue biomarkers associated with axial involvement in psoriatic arthritis (PsA). The GRAPPA-CRN session updated progress made with 3 parallel international research initiatives based on 3 previously defined unmet needs in PsA. The Health Initiatives in Psoriasis and PsOriatic arthritis ConsoRTium European States (HIPPOCRATES) is a European research consortium formed to address unmet clinical needs in PsA. The Preventing Arthritis in a multicenter Psoriasis At-Risk Population (PAMPA) is a US-based organization that has defined consensus terminology for preclinical phases of PsA and is interested in the transition process from psoriasis to PsA. An overview of the Accelerating Medicines Partnership Autoimmune and Immune-Mediated Diseases (AMP AIM) program 2.0, a consortium including GRAPPA-CRN members that addressed these 3 unmet needs in PsA, was also presented.
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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 | 0.010 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.069 | 0.030 |
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".