Bibliographic record
Abstract
Psoriatic arthritis (PsA), one of the spondyloarthritides (SpA), is an inflammatory musculoskeletal disease associated with psoriasis, classified according to the ClASsification for Psoriatic Arthritis (CASPAR) criteria1. PsA is a heterogeneous disease; manifestations vary within and between patients and commonly involve the skin, joints, and occasionally the eye and gastrointestinal tract2. With the aim to better study the most common manifestations of PsA, clinical trials and treatment recommendations have classified the cutaneous and musculoskeletal manifestations into domains3. These include skin, nails, peripheral arthritis, enthesitis, dactylitis, and axial arthritis3. Experts in PsA have largely reached consensus on the definition and tools for assessment of skin, nails, peripheral arthritis, enthesitis, and dactylitis. Recent clinical trials have provided evidence of varying efficacy of interventions for active disease in these domains4. PsA patients with axial arthritis (axPsA) tend to have more severe disease5. Compared to those without axial disease, these patients have higher likelihood of moderate/severe psoriasis, higher disease activity, and greater effect on quality of life and function5. Therefore, determining whether the axial domain is involved may have prognostic value. However, the axial arthritis domain is the least studied; the tools of assessment and treatment recommendations … Address correspondence to V. Chandran, 1E-416, Toronto Western Hospital, 399 Bathurst St., Toronto, Ontario M5T2S8, Canada. E-mail: vinod.chandran{at}uhnresearch.ca.
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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 | 0.011 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.006 | 0.012 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.007 | 0.019 |
| Insufficient payload (model declined to judge) | 0.012 | 0.009 |
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".