Vaginal foreign bodies in six nonhuman primates with underlying pathological conditions
Bibliographic record
Abstract
Four female Japanese macaques (Macaca fuscata) from the same group as well as Wolf's guenon (Cercopithecus wolfi) and a Western lowland gorilla (Gorilla gorilla gorilla) from a second institution presented with vaginal foreign bodies in parallel with diseases of the urogenital tract or with endocrine disorders. These foreign bodies were associated with a mild to marked, diffuse vaginitis in all cases. Underlying pathological conditions consisted of a cavernous uterine hemangioma in a 20-year-old macaque, diffuse endometritis in a 21-year-old macaque, an in situ endometrial carcinoma in a 24-year-old macaque, endometritis and an ovarian cyst-like structure in the 27-year-old Western lowland gorilla, chronic cystitis and chronic renal disease in a 24-year-old macaque, and a history of hypothyroidism with irregular reproductive cycles in the 12-year-old Wolf's guenon. Vaginal foreign bodies have been reported in nonhuman primates used in biomedical research, but their concurrence with underlying conditions has not been explored. In women, vaginal foreign bodies have been linked to serious underlying medical conditions. This case series emphasizes the recommendation to investigate this abnormal behavior for underlying medical or adverse psychosocial conditions in primates under human care.
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 | 0.000 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| 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".