Psoriatic Arthritis and Psoriasis Projects in Italy: A Report from the GRAPPA 2011 Annual Meeting
Bibliographic record
Abstract
Recent evidence that psoriatic arthritis (PsA) is more frequent and more severe than previously thought has led to several studies on genetic susceptibility, pathogenesis, clinical spectrum, diagnostic tools, and treatment of PsA. Concomitant with these studies has been the development of appropriate classification/diagnostic criteria and disease-specific outcome measures for PsA. Many Italian rheumatologists have taken part in these efforts by conducting collaborative multicenter research projects, which were described at the annual meeting of the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA; Naples, Italy, July 2011). Highlights of these Italian contributions included performance of CASPAR (ClASsification for Psoriatic ARthritis) criteria in early PsA; radiological assessments of axial PsA; development and validation of the PASRI (PsA Spondylitis Radiology Index in patients with established PsA); and the effect of etanercept on axial manifestations of established PsA.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".