Detection of Cervical Human Papillomavirus Infection by In Situ Hybridization in Fetuses from Women with Squamous Intraepithelial Lesions
Bibliographic record
Abstract
OBJECTIVE: To evaluate for human papillomavirus (HPV) infection in the cervix of fetuses from mothers with documented squamous intraepithelial lesions. METHODS: Fetal cervical epithelium was obtained from the Human Fetal Tissue Repository as per Institutional Review Board protocol. Fetal cervical epithelium was dissected, fixed in formalin, and embedded in paraffin. Sections were tested by in situ hybridization using a wide-spectrum HPV DNA probe. Cases were specimens from mothers with low- and high-grade squamous intraepithelial lesions, and controls were specimens from women with no documented squamous intraepithelial lesions. RESULTS: A total of 14 controls and 10 cases were evaluated for HPV DNA. No reactivity was detected in the controls. Two cases showed focal intracellular reactivity with the HPV DNA probe. CONCLUSION: To our knowledge, this is the first study demonstrate fetal cervical HPV infection due to intrauterine exposure. These findings have important implications in understanding the pathogenesis of cervical neoplasia and its management.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".