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Record W4391752539 · doi:10.31080/asvs.2023.05.0730

Complete Morphometry of Normal and Dysplastic Hip Joint in Large Breeds of Dogs

2024· article· en· W4391752539 on OpenAlexaboutno aff
Jagan Mohan Reddy Kataru, Veena Podarala, Venkata Rayadurgam, Shanthi Lakshmi Mukku, Veda Samhitha Jampala

Bibliographic record

VenueActa Scientific Veterinary Sciences · 2024
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Orthopedics and Neurology
Canadian institutionsnot available
Fundersnot available
KeywordsJoint (building)OrthodonticsAnatomyMedicineEngineeringStructural engineering

Abstract

fetched live from OpenAlex

Data on measurements of the proximal femur, acetabulum with special reference to CHD in large breed young dogs is relatively limited.The present study recorded complete morphometric of hip joint in healthy as well as dysplastic hip joint in large breed young dogs.Hip morphometrics were not significantly different between right and left limbs in normal hip joint or CHD in Doberman, Labrador, German shepherd and Rottweiler breeds.AA, EAA, DI, SI were significantly higher in CHD whereas HNI, AHI, PC, NA were higher in healthy hip joint in all the four breeds under study.Many proximal femoral and acetabular measurements were significantly different between male and female dogs.DI and SI were not significantly different between male and female dogs of Group I and II in Doberman, Labrador, German shepherd breeds.Many proximal femoral measurements and acetabular measurements were significantly different between unilateral and bilateral CHD.Other measurements like PC, NA, DI and SI were similar in unilateral and bilateral CHD in Doberman and Labrador breeds..

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)0.002
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.977
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.107
GPT teacher head0.326
Teacher spread0.219 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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