Effects of barley silage particle length and effective fiber on yield and composition of milk from dairy
Bibliographic record
Abstract
A study was conducted to determine the effects of two theoretical lengths of particle (TLP) of barley silage on physically effective neutral detergent fiber (peNDF) content and on yield and composition of milk in dairy cows. Type I peNDF uses the neutral detergent fiber (NDF) of forage materials retained on a 1.18-mm screen while Type II peNDF is based on the NDF content of three different particle size fractions. Cows received diets consisting of 55% concentrate and 45% barley silage of either a 9.5-mm or 4.8-mm TLP. Results showed no difference in Type I peNDF between the two barley silage TLP. However, barley silage with a 9.5 mm TLP contained more (P < 0.05) Type II peNDF than barley silage with a 4.8 mm TLP. Differences in particle size or Type II peNDF content of barley silage had no effect on yield or composition of milk in dairy cows. Key words: Particle size, physically effective fiber, dairy cows
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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) | 0.000 | 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".