Vaginal Intraepithelial Neoplasia 3 in a Woman Without Simultaneous Cervical Intraepithelial Neoplasm
Bibliographic record
Abstract
In the presence of the uterus, it is rare that vaginal intraepithelial neoplasia (VAIN) alone exists. We described our experience with a case in which VAIN3 was found in the vaginal fornix without lesions in the uterine cervix. She had cervical intraepithelial neoplasm (CIN) 1 several years ago. After that, it disappeared. However, high-grade squamous intraepithelial lesion persisted cytologically. After hysterectomy was performed, VAIN3 was found in the vaginal fornix. CIN was not found in the cervix. We are apt to suspect endocervical lesions when Papanicolau (Pap) smear shows abnormalities and colposcopy fails to identify columnar epithelium. However, we need to keep in mind that the vaginal fornix may have a lesion. It may be difficult to assess the vaginal fornix in young women because of a large cervix. The presence of VAIN should also be considered when cytological abnormalities persist on Pap smears.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".