Physical and Chemical Quality Profile of Lamb Meat Which Was Swamp Buffalo’s Rumen Liquid Based Fodder-Fed
Bibliographic record
Abstract
This study aims to know the effect of swamp buffalo’s rumen liquid based fodder toward physical and chemical quality of lamb meat. This study used 12 male Kacang goats at age of 10-12 months with weight around 12±1.2 kg. Method used in this study was Completely Randomized Design with 4 treatments repeated for 3 times until it reached 12 units of trials. The treatments consist of: (PS), regular fodder given by breeder (PFCK1) 25% rumen liquid based fodder + 75% PS. (PFCK2), 50% rumen liquid based fodder + 50% PS. (PFCK3) 75% rumen liquid based fodder + 25% PS. Data was statistically analyzed by using variance analysis. Difference between treatments was tested by using Duncan’s New Multiple Range Test. Study results showed that the usage of rumen liquid based fodder of 75% increased protein and lamb fat content (P < 0.05), the lamb meat was physically more tender (P < 0.05). The conclusion is swamp buffalo’s rumen liquid could be used to enhance lamb meat quality.
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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 | 0.000 | 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".