Statut en sélénium et en vitamine E des chevaux du Québec
Bibliographic record
Abstract
Soils in many regions in North America, including Quebec, are selenium (Se) deficient. To date, no field study has been conducted in Quebec regarding the Se status of horses. The objectives of this study were (1) to measure plasma Se in horses from different geographical locations in the province of Quebec and (2) to survey the Se consumption of the sampled horses. Four samplings were done on 59 horses over a 1-year period. Plasma was analyzed for Se, vitamin E and GSH-Px. Hay, concentrate and water were also analyzed for Se. Horses were classified in four groups for statistical analysis according to their forage:concentrate consumption respectively: group 1- 100% : 0%; group 2- 75-99% : 1-24%; group 3- 51-74% : 25-49%; group 4- < 50% : ≥ 50%. Owners were asked questions from a survey questionnaire at each visit. Results demonstrate that plasma Se varies according to BCS (P = 0.031) (n = 224 measures, 1 measure/horse/season), the season (P = 0.015) and the feeding group (P< 0.001). Plasma vitamin E was affected by the sex (P = 0.047) (mares: n = 37, geldings: n = 18, stallions: n = 4), the exercise level (P< 0.001) and the season (P< 0.001). GSH-Px activity was influenced by the type of feeding only (P = 0.002). When comparing plasma Se, vitamin E and GSH-Px results along with the answers of the survey questionnaire, it is possible to conclude that feeding practices of horse owners in Quebec are not appropriate to meet the Se requirements of horses.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".