Blended by-product feed pellets for backgrounding cattle
Bibliographic record
Abstract
Zenobi, M. G., Lardner, H. A., Jefferson, P. G. and McKinnon, J. J. 2014. Blended by-product feed pellets for backgrounding cattle. Can. J. Anim. Sci. 94: 533–543. Two trials were conducted to evaluate the performance of cattle fed blended by-product pellets (BP) formulated to be high in starch (HS 45% DM) or fat (HF 8.5% DM) and low (LSP; 27% of CP DM) or high (HSP; 37% of CP DM) in soluble protein. In trial 1, 300 crossbred steers (320±21.6 kg, mean±SD) were assigned to one of 25 pens and fed one of five diets. The control diet consisted of 46.9% forage and 53.1% barley-based concentrate. The four treatments were 48.5% forage and 51.5% BP (DM). Diets were formulated to 1.63 and 1.02 Mcal kg−1 NEm and NEg, respectively (DM). In trial 2, 180 crossbred steers (326±20.3 kg) were assigned to one of 15 pens, each assigned to one of three treatments. The control was 54.3% forage and 45.7% concentrate, while the two HF BP treatments were 56.6% forage and 43.4% BP (DM). All diets were formulated to 1.57 and 0.97...
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".