Carcass Composition of West African Dwarf (WAD) Goats Fed Cassava Peel-Based Diets
Bibliographic record
Abstract
To investigate the effects of cassava peel-based diets on the meat composition of WAD goats, 24 five month-old goats were used for the experiment. Results show that the Dry Matter (DM), Crude Protein (CP) and Nitrogen Free Extract (NFE) content of the meat were not significantly (P>0.05) different. The DM, CP and NFE content ranged from 29.96-30.00%, 89.77-90.43% and 2.00-4.03% respectively. The mineral composition revealed no significant (P>0.05) differences in Iron (Fe), Calcium (Ca), Sodium (Na), Zinc (Zn), Magnesium (Mg), Potassium (K), Phosphorus (P) and Copper (Cu) content. The Fe, Ca, Na, Zn, Mg, K, P and Cu content ranged from 1.95-2.20mg, 23.65 -25.29mg, 72.86-77.05mg, 4.00-4.32mg, 55.65-57.83mg and 1.62-1.73mg respectively. From the results, it appears that cassava peels supplemented with sweet potato foliage could improve the meat composition of WAD goats.
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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 | 0.001 | 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".