Trends in cervical intraepithelial neoplasia Grade 2+ after human papillomavirus vaccination: The devil is in the details
Bibliographic record
Abstract
Eight years since the introduction of the adolescent HPV vaccination programs, as the vaccinated cohort enters adulthood, the impact of these vaccination programs is now being assessed through surrogate markers such as the incidence of high‐grade cervical dysplasia (cytology/histology) and the incidence of genital warts. Early data from the HPV‐IMPACT study shows that although there has been a noticeable drop in CIN2+ incidence rates, the results may be confounded by the recent changes in cervical screening guidelines. This study is significant in that it is the first to report on changes in high‐grade histological abnormalities in the postvaccination era. Despite the confounding effect of changing cervical cancer screening guidelines, the findings cannot be completely ignored. With wider acceptance and standardization of cervical cancer screening guidelines and with an increasing number of women entering the vaccinated cohort, the magnitude of vaccine effectiveness should become more obvious. Further studies are needed to assess the changes in high‐grade histological abnormalities in the post‐vaccine era.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".