The Impact of Processing Methods and Levels of Jatropha gossypifolia L. Leaves on Productivity of Goats, Considering Distance
Bibliographic record
Abstract
Jatropha gossypifolia L. is a critical source of feed ingredients for livestock, providing 60% protein with a proper balance of essential amino acids when appropriately processed.This study aimed to evaluate the production performance, physiological status, and haematological value of Nuts goats fed with jatropha leaves processed using different methods and levels.Thirty local female goats of 10 months old with a weight range of 10.89kg to 18.98kg were used.The research employed a 2×5 factorial randomized block design and was repeated three times.The analysis revealed an interaction between the processing method and the level of red jatropha leaves given to obtain body weight gain, consumption of dry matter, and crude protein ration.The processing method of red jatropha leaves had a significant impact on the consumption of dry matter and crude protein ration, body temperature, pulsus frequency, and hematological value (white blood cell count, red blood cell count, hemoglobin level, hematocrit value) of the goats.However, it did not affect the efficiency of using dry ingredients, protein rations, and the frequency of respiration of nuts 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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".