and Francois Coutlee,1,2,3,5 for the Canadian Women’s HIV Study Groupa
Bibliographic record
Abstract
Background. Genetic polymorphism in human papillomavirus (HPV)–33 and-35 was investigated in 1055 sexually active women (732 human immunodeficiency virus [HIV] seropositive and 323 HIV seronegative). Methods. Consecutive genital specimens obtained at 6-month intervals were screened for HPV-33 and-35 by use of MY09-MY11. HPV-33 and-35 isolates from 95 women were analyzed by polymerase chain reaction sequencing of the long control region (LCR), E6, and E7. Results. For HPV-33, 101 (20%) of 506 nucleotides in the LCR were variable, compared with 10 (2.1%) of 483 nucleotides in E6 ( ) and 6 (1.9%) of 324 nucleotides in E7 (). For HPV-35, the proportionP!.001 P!.001 of variable nucleotide sites was similar between the LCR and both E6 ( ) and E7 (). The presencePp.54 Pp.33 of a 78–base pair deletion in HPV-33 (relative risk [RR], 1.8 [95 % confidence interval {CI}, 1.2–2.7]) and the presence of nonsynonymous E7 variations in HPV-35 (RR, 2.6 [95 % CI, 1.4–4.6]) were associated with persistence. When the data for HPV-33 and-35 were combined, infection by HPV isolates with nonsynonymous E7 variations (RR, 2.3 [95 % CI, 1.6–3.4]; ) and ethnicity ( ) were associated with persistence, whereas age (PPp.001 Pp.04 p.14) and HIV infection/CD4 cell count status ( ) were not significantly associated with persistence, byPp.12 logistic regression analysis. Conclusion. HPV-33 and-35 polymorphism was different between types and was associated with persistence
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.047 | 0.004 |
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".