Using okara in diets for growing broilers
Bibliographic record
Abstract
This study aimed to evaluate the effects of okara inclusion in diet for growing broilers on performance, carcass yield, blood and bone variables, quality and lipid oxidation of meat, and economic viability. For that, 575 Cobb 21-d-old male broilers were distributed in a completely randomized design with four levels of okara inclusion (25, 50, 75, and 100 g of okara kg−1 diet) and a control group with five replicates and 23 birds each. There was no significant difference (P > 0.05) of okara levels on the performance variables, carcass yield, bone variables, and serum triglycerides, calcium and phosphorus at 42-d-old. Serum cholesterol levels showed a quadratic response (P < 0.05), in which the lowest value estimated was 65.3 g of okara kg−1 of diet. Okara can be included in diets for broilers up to the level of 100 g kg−1 without affecting the performance, carcass yield, bone variables, and lipid oxidation of meat. However, the best economic results were observed up to 50 g of okara kg−1 of diet.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".