Bibliographic record
Abstract
Psoriatic arthritis (PsA) is a systemic inflammatory disease that includes uveitis as one of its extraarticular associations. Studies involving predominantly adult patients report a significant association between the incidence of uveitis and psoriasis, the risk of which is greatest in patients with severe PsA.1,2 The literature on uveitis in children focuses mainly on risk factors for the more common forms of juvenile idiopathic arthritis (JIA) associated with uveitis and antinuclear antibody (ANA) positivity.3,4 Information on juvenile PsA–associated uveitis (JPsA-U) is scarce, with detailed ophthalmic findings restricted to small case series.5,6 In this issue of The Journal of Rheumatology, Walscheid et al reported the results of a large population-based cohort study on 1862 patients with JPsA.7 Cross-sectional data from the German National Pediatric Rheumatological Database (NPRD) were used to describe prevalence and risk factors for JPsA-U. The authors report that their cohort from 2002 to 2014 had documented uveitis in 6.6% (122/1862). Patients with JPsA-U were more frequently ANA positive (60.3% vs 37.0%, P < 0.001) and younger at JPsA onset (5.3 vs 9.3 yrs, P < 0.001) compared to patients without uveitis. Indeed, uveitis developed more frequently in those aged < 5 years at JPsA onset (17.3% [73/423] vs 3.8% [49/1306], P < 0.001). … Address correspondence to Dr. K. Mireskandari, Department of Ophthalmology and Vision Sciences, Hospital for Sick Children and University of Toronto, 555 University Avenue, Toronto, ON M5G 1X8, Canada. Email: kamiar.mireskandari{at}sickkids.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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.011 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".