GRAPPA Trainees Symposium 2009: A Report from the GRAPPA 2009 Annual Meeting: Table 1.
Bibliographic record
Abstract
At the 2009 annual meeting of GRAPPA (Group for Assessment of Psoriasis and Psoriatic Arthritis) in Stockholm, Sweden, 15 fellows involved in research in psoriatic disease were invited to present their work at a Trainees Symposium, which was also attended by members of the GRAPPA Faculty Committee. All of the fellows held poster sessions of their work and 4 of them gave oral presentations, including identification of soluble biomarkers for psoriatic arthritis (PsA), validation of minimal disease activity criteria for PsA, disease progression using the modified Sharp score, and discussion of a new composite disease activity score for PsA. Senior GRAPPA members also instructed the fellows on other composite scoring methods and on training videos and other GRAPPA projects to date. All of the posters and presentations from the Trainees Symposium are summarized herein.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.045 | 0.029 |
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".