Genomic Polymorphism of Human Papillomavirus Type 52 Predisposes toward Persistent Infection in Sexually Active Women
Bibliographic record
Abstract
We investigated the role of human papillomavirus (HPV) type 52 polymorphism in the persistence of HPV infection, which is a predictor for cervical lesions. Cervical samples obtained at 6-month intervals were tested for HPV-52 in 1055 women; 41, 12, and 58 women had persistent, transient, and unclassified HPV-52 infections, respectively. HPV-52 isolates were analyzed by polymerase chain-reaction sequencing of the long control region (LCR), E6, and E7 genes. Although age (odds ratio [OR], 0.90 [95% confidence interval [CI], 0.81-0.99]), nonprototypic LCR (OR, 9.26 [95% CI, 2.1-41.7]), and E6 variant (OR, 7.04 [95% CI, 1.4-37]) were associated, in univariate analysis, with the persistence of HPV-52 infection, a nonprototypic LCR variant was the only independent predictor of it (OR, 14.1 [95% CI, 1.1-200]). In the latter variants, the loss of a binding site for a repressor of HPV expression was associated with the persistence of HPV infection (OR, 7.25 [95% CI, 1.67-31.25]).
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".