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Record W4407697760 · doi:10.58292/ct.v17.11198

X chromosomal monosomy with bilateral ovotestes in a Labrador Retriever dog

2025· article· en· W4407697760 on OpenAlexaboutno aff
H.R. Hunt, Michael J. Yaeger, Amanda J. Fales‐Williams, Sharon Wagner, Eleas Wu, Theresa Beachler

Bibliographic record

VenueClinical Theriogenology · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicChromosomal and Genetic Variations
Canadian institutionsnot available
FundersUniversity of California, Davis
KeywordsLabrador RetrieverMonosomyAnatomyBiologyPathologyMedicineKaryotypeChromosomeGenetics

Abstract

fetched live from OpenAlex

A 2 year intact, phenotypically female Labrador Retriever dog was presented for evaluation of persistent white vaginal discharge after a perceived normal estrous cycle. On repeat evaluations, the dog was determined to be in persistent cytologic estrus ~ for 2 months. Abdominal ultrasonography revealed suspected bilateral ovarian cysts and cystic endometrial hyperplasia. After ultrasound-guided cystic aspiration, the dog was treated with a 3 day course of gonadotropin-releasing hormone (GnRH). Four months after initial treatment, the dog developed behavioral and physical signs of estrus that lasted ~ for 4 weeks; systemic progesterone concentrations never increased > 1.0 ng/ml. Repeat abdominal ultrasonography revealed another cyst-like structure on the right gonad. Similar treatment (cyst aspiration and GnRH treatment) was given. Paired cystic fluid and blood serum hormone concentrations were analyzed at each aspiration; testosterone concentrations were higher in serum and cystic fluid. Ovariohysterectomy and karyotyping diagnoses were bilateral ovotestis and X chromosomal monosomy (77, XO).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.806

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.025
GPT teacher head0.288
Teacher spread0.263 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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