Ingestive Behavior of Cows in Pastures Andropogon gayanus and Brachiaria decumbens in Southern State of Piauí, Brazil
Bibliographic record
Abstract
The research was conducted at the experimental farm of the Agricultural College of Bom Jesus, which is located at 135 km 3 BR, in the region of the valley Gurguéia southern state of Piauí. We used 10 crossbred cows of Holstein x Gir. The experimental design was completely randomized with two treatments (the pastures of grasses Andropogon gayanus and Brachiaria decumbens), with five replicates (five animals per treatment). The trial lasted five days. Two evaluations were made with duration of 24 hours each, conducted during a day, and the average of the two ratings was used in the statistical analyzes. The evaluations were performed on 20 to 24 July 2013. The cows grazed more time in the morning around 7-10 hours and late afternoon extending into the night with peak until 19:00 hours. The idle time was greater at the end of the night that matches the period of reduced grazing activity. The cows grazed more time during the day in the pasture of Brachiaria decumbens (8.53 hours) compared to pasture Andropogon gayanus (8.03 hours). With respect to time grazing night, the situation was reversed, the animals grazed longer during the day and slowed down during the night (3.16 hours grazing) in the pasture of Brachiaria decumbens. The animals had a higher number of bits (14128.92) in grazing Brachiaria decumbens compared to Andropogon gayanus (10134.00).
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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 | 0.000 |
| 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".