GRAPPA 2011: Proceedings from the Ultrasound Imaging Module
Bibliographic record
Abstract
In a plenary session at the 2011 meeting of the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) the use of sonography for evaluating enthesitis and dactylitis in psoriasis and psoriatic arthritis (PsA) was reviewed, and initial proposals were presented to develop ultrasound joint indices to assess enthesitis and dactylitis in PsA. Sonography can depict ultrastructural morphopathological features of an enthesis and its adjoining tissue structures, as well as increased vascularity; candidate entheses were proposed for an initial sonographic PsA enthesitis index. Ultrasound also can readily demonstrate soft tissue changes, synovitis, erosions, and osteoproliferation in dactylitis, and these features were proposed for an initial sonographic dactylitis index. A perspective was also presented on a wider proposed index including the skin, nail, joint, and enthesis.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.093 | 0.066 |
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".