Physiological Measurements of Missouri Fox Trotters and Quarter Horses Performing a Standardized Trail Ride Test
Bibliographic record
Abstract
The objective of this research was to compare the physiological measurements of the Missouri Fox Trotter (MFT) and the Quarter horses (QH) while they were performing a standardized trail ride test. Twelve MFT (485 +- 30 kg) and twelve QH (518 +- 48 kg) were subjected to a 40 min standardized trail ride test (STRT) which consisted of 5 min in an arena followed by 35 min through wooded and open areas covering a distance of 4645m. Horses were tested in groups of four with two of each breed per group and two groups per d on three separate d (9/21, 9/28, 10/11, 2012). Speed traveled during the STRT was set by the MFT and ranged from 2.09 m/s to 2.48 m/s. At 5 and 15 min during the STRT, heart rate (HR) of MFT were greater (P<0.05) than QH. Horses carrying a higher percent of their body weight exhibited higher HR at 5 and 10 min post exercise (P<0.01) and respiration rate (RR) at 60 min post-exercise (P<0.05). At 1 min post STRT, rectal temperature (RT) was not different between breeds however the percent carrying did influence RT (P<0.01). The RT of MFT was higher (P<0.04) than QH at 30 min post exercise. Temperature and relative humidity, increased skin temperatures post exercise (P<0.05) with the exception of the inner gaskin temperature at 10 min post STRT (P<0.1). In conclusion, MFT had a greater response to the STRT than the QH.
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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 | 0.000 | 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".