Evaluation of feeding corn or wheat dried distillers’ grains with solubles on animal health of finishing feedlot steers
Bibliographic record
Abstract
Amat, S., McKinnon, J. J., Simko, E. and Hendrick, S. 2014. Evaluation of feeding corn or wheat dried distillers’ grains with solubles on animal health of finishing feedlot steers. Can. J. Anim. Sci. 94: 525–531. Using dried distillers’ grains with solubles (DDGS) as a replacement for barley grain is believed to reduce the incidence of rumen acidosis and liver abscessation due to its low starch content. However, feeding DDGS has the potential to induce polioencephalomalacia (PEM) owing to its high sulfur (S) content. The present commercial feedlot study was conducted to evaluate the effects of feeding corn or wheat DDGS on the health of finishing steers with a focus on the impact of these by-products on mortality, prevalence of ruminitis, cystitis, PEM and liver abscessation. The trial was conducted as a complete randomized design with three treatments using a total of 6815 crossbred steers in 10 pens per treatment. The control group diet consisted of 93.1% dry-rolled barley, 5.0% barley silage and 1.9% s...
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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".