Feeding graded levels of camelina expeller meal up to 20% of dietary dry matter decreases feed intake and milk production but enhances concentration in milk fat of <i>n</i>-3 fatty acids in dairy cows
Bibliographic record
Abstract
Eight Holstein cows were used in a replicated 4 × 4 Latin square design study to determine the effects of feeding 0%, 10%, 15%, and 20% camelina expeller meal (CEM) on production and milk fatty acid profiles. Dry matter intake (DMI) and milk fat content decreased linearly, whereas milk yield decreased quadratically, as CEM increased. Concentrations in milk fat of C18:2n-6 and cis-9, trans-11 C18:2 increased linearly, whereas those of C18:3n-3 and trans-10, cis-12 C18:2 increased quadratically as CEM increased. Results show that CEM levels up to 20% decrease DMI and milk yield but increase concentrations in milk fat of desirable n-3 fatty acids.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".