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Record W4396676273 · doi:10.55296/jiva/22.1.2024.86-91

SURGICAL MANAGEMENT OF UNILATERAL TESTICULAR CYSTIC FIBROSIS IN A BILATERALLY CRYPTORCHID LABRADOR RETRIEVER

2024· article· en· W4396676273 on OpenAlexaboutno aff
S. P. Abhijith, Sherin B. Sarangom, Jayamohanan T. V, Varsha Mary Mathai

Bibliographic record

VenueJIVA · 2024
Typearticle
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsLabrador RetrieverMedicineCystic fibrosisAnatomySurgeryInternal medicine

Abstract

fetched live from OpenAlex

The incidence of testicular pathologies are common among cryptorchid dogs.A ten-year-old bilaterally cryptorchid male Labrador retriever was presented with a large mass below the right caudal abdomen parallel to the prepuce.The mass had progressively enlarged in size over the past few weeks.On abdominal ultrasound, the mass measured 6.89 cm × 8.22 cm and appeared mixed in echogenicity with multifocal anechoic areas and well-defined borders.The retained left testicle could be located anterior to the left inguinal canal subcutaneously.Based on the history, physical examination and ultrasonographical examination findings, a tentative diagnosis of the mass being of testicular origin was made.The affected and retained testes were surgically removed under general anesthesia.The histopathological examination confirmed the testicular pathology as testicular cystic fibrosis, which was an unusual finding.

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)0.001
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.008
GPT teacher head0.270
Teacher spread0.262 · 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
Published2024
Admission routes1
Has abstractyes

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