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Record W4221006689 · doi:10.1002/zoo.21689

Vaginal foreign bodies in six nonhuman primates with underlying pathological conditions

2022· article· en· W4221006689 on OpenAlexaff
Benjamin Lamglait, Anneke Moresco, Émilie L. Couture, Shannon T. Ferrell, Stéphane Lair

Bibliographic record

VenueZoo Biology · 2022
Typearticle
Languageen
FieldMedicine
TopicUrological Disorders and Treatments
Canadian institutionsStedfast (Canada)Université de MontréalCégep de SherbrookeCegep de Saint Hyacinthe
Fundersnot available
KeywordsGorillaBiologyMacaquePhysiologyGynecologyMedicineEcology

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.051
GPT teacher head0.325
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2022
Admission routes1
Has abstractyes

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