Histologic Features of Prepubertal and Pubertal Reproductive Development in Female Sprague-Dawley Rats
Bibliographic record
Abstract
In response to growing concerns that environmental chemicals may have adverse effects on human health by altering the endocrine system, the Endocrine Disruptor Screening Program (EDSP), under the auspices of the United States Environmental Protection Agency (U.S. EPA), recently instituted a Tier I battery of tests including a female pubertal assay. This assay requires dosing of female rats from postnatal day (PND) 22 through PND 42 (or 43), the period of pubertal development in the rat, to identify test articles that may have estrogenic or antiestrogenic effects, or may alter hormones or neurotransmitters. While certain landmarks in female rat reproductive development are published, little is published on the microscopic appearance of the female reproductive tract during prepubertal and pubertal development. In this study, reproductive tissues from three female Sprague-Dawley rats were collected each day from PND 20 through PND 50, such that tissues from a total of 93 rats were collected throughout the prepubertal and pubertal period. Tissues were formalin-fixed, trimmed, paraffin-embedded, sectioned at 5-µm thickness, and examined microscopically. The major histologic features of the female reproductive tract throughout this critical period were described in detail. This information will help pathologists interpret findings observed in female pubertal assays.
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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 | 0.000 |
| 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".