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Record W4407556882 · doi:10.1177/10406387251319266

Pyovagina and sepsis due to <i>Streptococcus didelphis</i> in a Virginia opossum

2025· article· en· W4407556882 on OpenAlexaboutno aff
Agustín Rebollada‐Merino, Cassandra Guarino, Ryan P. Taylor, Gavin R. Hitchener

Bibliographic record

VenueJournal of Veterinary Diagnostic Investigation · 2025
Typearticle
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsOpossumDidelphisPathologyEndometritisBiologyVaginaMedicineAnatomy

Abstract

fetched live from OpenAlex

Virginia opossums ( Didelphis virginiana ) are the only native marsupials in the United States of America and Canada. Females have a reproductive tract consisting of a complex duplex (bifurcated) reproductive system, with 2 ovaries, 2 uteri and uterine tubes, and a vaginal complex composed of 2 lateral vaginae, vaginal sinuses, and a urogenital sinus. Few conditions of the reproductive tract have been described in these marsupials. A 2-y-old, female Virginia opossum was presented because of hematuria and was found dead shortly after admission. The autopsy revealed left lateral vaginal torsion and pyovagina. Streptococcus didelphis was isolated and identified from the lateral vaginal exudate, blood, and liver using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Histologic examination confirmed suppurative and lymphoplasmacytic vaginitis, endometritis, cystitis, pyelonephritis and interstitial nephritis, portal hepatitis with fibrosis, myocarditis, and adrenalitis with intralesional gram-positive cocci. These results suggest ascending S. didelphis infection of the lateral vagina with subsequent torsion, bacterial translocation, bacteremia, and sepsis as the cause of death.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.320
Teacher spread0.300 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations0
Published2025
Admission routes1
Has abstractyes

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