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Record W2953684407 · doi:10.1111/eve.13131

A two‐step ovariohysterectomy with unilateral left flank laparoscopic assistance in a Quarter Horse mare

2019· article· en· W2953684407 on OpenAlex
Dimitri T. N. Kadic, Alvaro G. Bonilla

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEquine Veterinary Education · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsUniversité de MontréalCegep de Saint Hyacinthe
Fundersnot available
KeywordsMedicinePyometraHorseSurgeryFlankLaparoscopyAnatomyUterusInternal medicine

Abstract

fetched live from OpenAlex

Summary This case report describes the technique and outcome of a two‐step laparoscopic‐assisted ovariohysterectomy in a Quarter Horse mare performed through the left paralumbar fossa for the treatment of chronic pyometra. Ovariohysterectomy is a procedure uncommonly performed in the horse. It is surgically demanding, invasive and can be associated with significant complications when a ventral midline approach is performed. Laparoscopic‐assisted techniques reduce the invasiveness and some of the complications associated with ovariohysterectomy through ventral midline alone. The described modification further reduces the invasiveness of laparoscopic‐assisted ovariohysterectomy and has the potential to reduce the overall surgical time of the procedure. Further work is needed to determine if the technique could be extrapolated to large‐sized mares.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.793
Threshold uncertainty score0.394

Codex and Gemma teacher scores by category

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

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 head0.014
GPT teacher head0.260
Teacher spread0.245 · 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