Ractopamine for Pigs: A Review about Nutritional Requirements
Bibliographic record
Abstract
Heavy weight pigs tend to deposit greater quantities of fat than protein. To work around this situation, ractopamine has been used in the finishing stage. In environments with moderate temperatures, ractopamine in pig diets in the finishing phase may increase rates of weight gain and improve feed efficiency without affecting feed intake. Ractopamine increases needs of pigs in terms of lysine, phosphorus and energy. The effects of ractopamine in pigs raised under conditions of heat stress have been observed in weight gain, feed efficiency and muscle deposition rate, but not on reducing the amount of fat in pigs weighing between 95.0 and 120.0 kg. Ractopamine has promoted the increase in quantity of meat on the carcass, without altering flavor and tenderness. The weight of some organs is affected by the use of ractopamine, especially in animals under conditions of heat stress. There is need for more research relating to the effects of ractopamine with the welfare of pigs with at least 95.0 kg.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".