Association of human papillomavirus and systemic sclerosis: A population based cohort study
Bibliographic record
Abstract
Association of human papillomavirus and systemic sclerosis: A population based cohort studySystemic sclerosis (SSc) is an uncommon rheumatic disease characterised by fibrosis of skin and vasculopathy.1 Human papillomavirus (HPV) is known as an independent risk factor for multiple autoimmune disorders and malignancies.2,3 Previous study revealed that co-infections of multiple HPV subtypes were near two times more frequent in the SSc group.4 A significant positive association between self-reported abnormal Pap test and diffuse skin involvement in SSc patients were addressed in a Canadian study.5 However, no previous studies on the epidemiological relationship between HPV infection and SSc has been investigated.To assess the relationship between HPV infection and SSc, we analysed the information present in the 1997-2013 Taiwan's National Health Insurance Research Database.The baseline characteristics among groups are presented in Table 1.Demographic data between the HPV study group and comparison group were analysed by the chi-squared (χ2) tests.Cox proportional hazard regression model
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".