The prevalence and risk factors of oesophageal and nonglandular gastric lesions in Thoroughbred racehorses in Saskatchewan
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".