What Constitutes a Positive MRI for Clinical Trial Recruitment of Psoriatic Arthritis Patients With Axial Involvement?
Bibliographic record
Abstract
There has been a resurgence of interest in defining the axial inflammation component of psoriatic arthritis (PsA) since recent randomized controlled trials (RCTs) raised the possibility that this entity may respond differentially to therapeutics compared to patients with axial spondyloarthritis. A workshop was conducted during the 2021 Group for Research and Assessment of Psoriasis and Psoriatic Arthritis annual meeting to review the literature on diagnosing PsA and to determine which criteria might be most appropriate. There was quite strong agreement that magnetic resonance imaging (MRI) had an important role to play in helping to define axial inflammation in PsA and that a data-driven methodology for generating optimal MRI quantitative cut-offs for lesions in the sacroiliac joints and/or spine that reflect imaging typical of axial inflammation in PsA would be most desirable.
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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 | 0.057 | 0.125 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".