Building Bridges between Researchers and Patient Research Partners: A Report from the GRAPPA 2014 Annual Meeting
Bibliographic record
Abstract
Concurring with a worldwide trend to include the patient perspective in outcomes research, the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) recently engaged patients as collaborative partners in psoriatic arthritis (PsA) research. We summarize Building Bridges, a session held at the GRAPPA 2014 annual meeting, where interactive dialogue was encouraged between all participants regarding GRAPPA’s vision for patient research partner (PRP) involvement, including the mutual understanding of the roles and responsibilities of PRP and researchers in GRAPPA’s working groups, meetings, and governance arrangements. We conclude that involving PRP in GRAPPA projects is pivotal to optimizing incorporation of the patient perspective in psoriasis and PsA research.
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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 | 0.120 | 0.186 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.019 | 0.005 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.004 | 0.032 |
| Research integrity | 0.013 | 0.027 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".