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Record W2567495580 · doi:10.1590/1678-4162-9089

Electrocautery technique for proximal tibial epiphysiodesis in Labrador retriever puppies: experimental study

2016· article· en· W2567495580 on OpenAlexaboutno aff
Paula Desjardins Brienza, Leonardo Augusto Lopes Muzzi, Antônio Carlos Cunha Lacreta, Endrigo Gabellini Leonel Alves, G. C. Guimarães, Ruthnéa Aparecida Lázaro Muzzi

Bibliographic record

VenueArquivo Brasileiro de Medicina Veterinária e Zootecnia · 2016
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Orthopedics and Neurology
Canadian institutionsnot available
FundersFundação de Amparo à Pesquisa do Estado de Minas GeraisCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsEpiphysiodesisLabrador RetrieverMedicineCruciate ligamentPlateau (mathematics)SurgeryStifle jointAnterior cruciate ligamentOrthopedic surgery

Abstract

fetched live from OpenAlex

ABSTRACT There are few studies about the treatment options for cranial cruciate ligament rupture in growing dogs, especially with epiphysiodesis techniques. The aim of this study was to evaluate the electrocautery technique for proximal tibial epiphysiodesis in Labrador retriever puppies. The novel electrocautery technique was compared with the screw technique regarding the efficacy for tibial plateau leveling in growing dogs. Six healthy Labrador retriever puppies were divided into two groups. The screw technique was used in one group and the electrocautery technique was used in the other group. Both proximal tibial epiphysiodesis techniques for tibial plateau leveling were effective in achieving reduced tibial plateau angle and did not cause significant joint changes. The screw technique was more invasive and caused slightly greater morbidity than the electrocautery technique. The electrocautery technique seems to be a good alternative for proximal tibial epiphysiodesis in young dogs.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.055
GPT teacher head0.344
Teacher spread0.289 · 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 designBench or experimental
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

Citations2
Published2016
Admission routes1
Has abstractyes

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