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Record W7024311988

The relationship between radiographic changes and performance outcome in Quarter Horse cutting horses

2007· article· en· W7024311988 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Collections of Colorado (Colorado State University) · 2007
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Equine Medical Research
Canadian institutionsnot available
Fundersnot available
KeywordsRadiographyQuarter (Canadian coin)HorseOutcome (game theory)Incidence (geometry)
DOInot available

Abstract

fetched live from OpenAlex

Reason for Performing the Study: Radiographic repositories are become increasingly popular in multiple disciplines as a screening tool prior to sale. However, the importance of the radiographic findings must be objectively assessed relative to potential significance. While studies have been done to correlate survey radiographic findings with performance outcomes in Thoroughbreds, no such published study exists in Quarter Horses. This paper serves as part two of a study examining the relationship between radiographic changes in survey radiographs relative to objective performance outcomes in Quarter Horse cutting horses. Objectives: The goal of this study is to better clarify the potential significance of radiographic changes on repository radiographs relative to performance. This in turn will allow veterinarians and their clients to make more objective, informed decisions prior to purchase about the potential implications of various radiographic changes. Methods: Radiographic changes of 436 Quarter Horses, which were quantified in a previous paper (Contino et al 2009), were compared to objective performance outcome parameters. The parameters were: 1) likelihood of competing, 2) likelihood of earning money as a three year old, four year old and as a three and four year old combined, 3) average amount of money earned as a three year old, four year old and as a three and four year old combined. Mailed questionnaires and phone calls to owners of horses that did not earn money were used to try to determine why the horse had no recorded earnings. Results: When the tarsometatarsal (TMT) and distal intertarsal (DIT) joints were examined together, the presence of mild (grade 2) osteophytes, which affected 19% of the horses, was associated with reduced chance of competing, earning money and mean money earned. Very mild and mild osteophytes of the third and central tarsal bone assessed individually at the level of the TMT and DIT also had some significant effects in multiple performance outcome categories. The presence of thickening of the dorsal cortex of the hind second phalanx as well as osteophytes as this location was associated with an increased likelihood of earning money. Several other potentially significant findings are reported but affect a relatively small number of the horses included in the study. Radiographic changes of the medial femoral condyle of the stifle were not significantly associated with performance outcome. Conclusions: Many radiographic changes were not found to be significantly associated with performance outcome. However, some mild changes were associated with decreased performance. In addition, some radiographic changes were correlated with improved performance outcome. Potential Relevance: The findings of this study can be used to help veterinarians make more objective assessments of survey radiographic findings prior to sale. This research helps lay the groundwork for further investigations of the significance of survey radiographic findings in individual breeds and disciplines.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.089
GPT teacher head0.318
Teacher spread0.230 · 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 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

Citations0
Published2007
Admission routes1
Has abstractno

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