Physiological Parameters in the Equine Competitions Rodeo Cow in the Southern State of Piaui, Brazil
Bibliographic record
Abstract
This research was conducted in the town of Redenção of Gurguéia in the southern region of the state of Piauí. The region has a semi-arid tropical climate type, which corresponds to the high temperatures and dry climate, in the period of summer rainy season dragging for fall, common to all regions of northeastern Brazil. 27 adult crossbred horses race quarter mile aged (5-16 years) were used, nine males with white fur, with nine -nine sorrel coat with red fur. Heart rate (HR) and respiratory rate (RR) were performed. Thermal environment in a black globe with the purpose of recording the internal temperature of the animal at the beginning and end of each time of sampling, to calculate the rate of global temperature and humidity (BGT) was installed. The variations between the characteristics measured were significantly different (P < 0.05) between the two rounds of collections that corresponds to the 1st morning shift (T1) and 2 afternoon shift (T2) for heart rate (HR), respiratory rate (RR) and the rate of global temperature and humidity (BGT). The respiratory rate (RR) was positively correlated with FC (0.65).
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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 | 0.001 | 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".