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Record W2905904434 · doi:10.1111/eve.13030

Cystic intra‐abdominal testicles: Standing laparoscopic removal in two colts

2018· article· en· W2905904434 on OpenAlexaff
A B M Rijkenhuizen, Dov Lichtenberg, K. Weitkamp

Bibliographic record

VenueEquine Veterinary Education · 2018
Typearticle
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsTellabs (Canada)
FundersUniversity of Liverpool
KeywordsMedicineWarmbloodTesticleLaparoscopyHorseSpermatic cordCystAnatomyHistopathologySurgeryAbdomenPathologyBiology

Abstract

fetched live from OpenAlex

Summary This case report describes the laparoscopic approach for removal of cystic intra‐abdominal testicles in the standing colt. One 3‐year‐old Tobiano and one 2‐year‐old Warmblood colts were referred for abdominal cryptorchidectomy. The horses were clinically and ultrasonographically examined and a presumptive diagnosis of unilateral abdominal cryptorchidism was made. A laparoscopic approach via the flank was used to localise each abdominal testicle. In both colts the abdominal testicle was enlarged and cystic. Each spermatic cord was ligated and fluid was aspirated from the testicle. By reducing the size of the mass minimally invasive removal through an enlarged instrumental portal was possible. Histopathology revealed a cystic rete testis in the Tobiano and a teratoma in the Warmblood. In these cases the cystic enlarged testicles were nonpainful and were incidental findings. A cystic testicle might be developmental (Tobiano case) or arise due to neoplastic transformation (Warmblood case). The laparoscopic approach for enlarged cyst‐like testicles in the standing horse offers a secure minimally invasive method for removal.

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 score0.011

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 studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.033
GPT teacher head0.385
Teacher spread0.352 · 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

Citations9
Published2018
Admission routes1
Has abstractyes

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