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Record W2206940302 · doi:10.17555/jvc.2015.06.32.3.231

Measurement of the Tibial Plateau Angle in Normal Small Breed Dogs

2015· article· en· W2206940302 on OpenAlexaboutno aff
Choong-sup Kim, Jae-Won Seol, Min Su Kim, Sang-Hoon Lee, Namsoo Kim, Haebeom Lee

Bibliographic record

VenueJournal of Veterinary Clinics · 2015
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Orthopedics and Neurology
Canadian institutionsnot available
Fundersnot available
KeywordsBreedMedicineCruciate ligamentSignificant differenceLabrador RetrieverVeterinary medicineSurgeryAnimal scienceInternal medicineBiologyAnterior cruciate ligament

Abstract

fetched live from OpenAlex

This study measured the tibial plateau angle (TPA), a value that predicts cranial cruciate ligament rupture (CCLR) and a prerequisite for dynamic stabilization, in small breed dogs. The cadavers of 32 skeletally mature small breed dogs without CCLR were used to measure TPA. Differences were evaluated between males and females, left and right limbs, and among breeds. The mean TPA of all dogs was 26.13°± 2.33°. The mean TPAs of left and right limbs were 26.00°± 2.23° and 26.26°± 2.45°, respectively, which was not a significant difference. The mean TPAs of male and female dogs were 26.01°± 1.57° and 26°.22 ± 2.80°, respectively, which was also not significant difference. The mean TPAs in Maltese, Poodle, Shih Tzu, and Yorkshire terrier were 26.06°± 2.96°, 25.21°± 1.38°, 26.65°± 2.96°, and 26.27°± 1.61°, respectively. Differences in these means were not statistically significant. The TPA measured from this study could provide important information for further investigation of the pathogenesis of and surgical techniques for CCLR in small breed 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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score0.682

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.247
GPT teacher head0.365
Teacher spread0.118 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations5
Published2015
Admission routes1
Has abstractyes

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