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Record W4388462341 · doi:10.21825/vdt.89686

A rare case of an asymptomatic ovarian cystadenoma in a Labrador retriever

2023· article· en· W4388462341 on OpenAlexaboutno aff
Anton Antonov, A Atanasov, R. Simeonov

Bibliographic record

VenueVlaams Diergeneeskundig Tijdschrift · 2023
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Medicine and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsLabrador RetrieverAsymptomaticMedicineOvaryAbdominal ultrasonographyGynecologyUltrasonographySurgeryInternal medicine

Abstract

fetched live from OpenAlex

In this report, a clinical case of asymptomatic ovarian cystadenoma in a six-year-old, female Labrador retriever is described. The owner reported that the dog had been presented for routine spaying two weeks earlier in another clinic. During the operation, the veterinarian discovered a unilateral mass at the tip of the left uterine horn, which he could not remove and ovariohysterectomy was not performed. The patient was then referred to the Hospital of the Faculty of Veterinary Medicine, Trakia University, Stara Zagora, Bulgaria. Transabdominal ultrasonography revealed the presence of a hypoechoic mass in the region of the left ovary (50.0 × 71.8 mm). Complete blood cell counts and biochemical laboratory analysis showed no abnormalities. Caudal midline celiotomy was performed and a substantially altered left ovary was observed. The right ovary and uterus had a normal size and structure. Macroscopic changes in the other abdominal organs were not found. The histopathological finding of the neoplastic formation was characteristic of an ovarian cystadenoma. At follow-up one month after surgery, the dog had fully recovered, and at re-examination six months after surgery, she appeared healthy and all clinical findings were normal.

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)0.002
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.054
GPT teacher head0.327
Teacher spread0.273 · 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
Published2023
Admission routes1
Has abstractyes

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