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The prevalence and risk factors of oesophageal and nonglandular gastric lesions in Thoroughbred racehorses in Saskatchewan

2011· article· en· W1918236918 on OpenAlex
Fernando J Marqués, Tracy L Epp, David A. Wilson, Angelina Ruiz, Nathalie Tokateloff, S. Manning

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEquine Veterinary Education · 2011
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Equine Medical Research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineHyperaemiaHorseLamenessEpidemiologyLesionInternal medicineSurgery

Abstract

fetched live from OpenAlex

Summary The objective of this study was to investigate the prevalence, severity and risk factors associated with oesophageal and nonglandular gastric lesions in Thoroughbred racehorses in active training in Saskatoon. Mature Thoroughbred horses (n = 94), stabled at Marquis Downs racetrack in Saskatoon, Saskatchewan, Canada, and trained by different trainers (n = 14) for a minimum of one month were included in the study. Horses were examined by gastroscopy and a lesion grade was assigned for each individual horse. Of the 94 horses, 79 (84%) had nonglandular gastric lesions, 70 (74.5%) had gastric ulcers, giving a prevalence of 74.5%, and 9 out of 94 horses (9.6%) had hyperkeratosis and/or hyperaemia. None of the horses had oesophageal lesions. Gender, age, number of races raced, place obtained in those races, history of lameness, history of medical conditions, and history of medications in a 2 month period prior to the gastroscopic examination were not statistically significant as potential risk factors for the prevalence and severity of nonglandular gastric lesions.

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)0.001
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 score0.097
Threshold uncertainty score0.731

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.094
GPT teacher head0.366
Teacher spread0.272 · 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