Comparison of canola meal versus soybean meal on growth performance and carcass quality of feedlot cattle
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Canola meal (CM) or soybean meal (SBM) with or without wheat dried distillers’ grains with solubles (WDDGS) were evaluated in two trials. Trial 1 was a 95-day backgrounding program where 398 steers (288 kg) were fed a barley-based diet with either CM, SBM, CM + WDDGS, or SBM + WDDGS as protein supplements in a completely randomized design (CRD). Trial 2 had 300 steers (305 kg) fed barley-based diets in a 61-day backgrounding and 147-day finishing program evaluating same supplements in a completely randomized design. Final BW, ADG, and DMI did not differ ( p > 0.05) in Trial 1. In Trial 2, CM + WDDGS cattle had greater ( p = 0.01) backgrounding DMI than SBM cattle. Steers fed CM had the lowest finishing ( p = 0.03) and overall ( p = 0.05) ADG compared to steers fed SBM. WDDGS improved dressing percentage ( p = 0.05) but decreased number of Canada AAA carcasses ( p = 0.05). Cattle fed CM + WDDGS had the greatest ( p = 0.02) subcutaneous fat depth. WDDGS in the diet increased total PUFA concentration ( p = 0.01) and reduced trans-10: trans-11 ratio ( p = 0.02) but did not reduce the ratio to be biologically significant. The study suggests that CM, SBM, and WDDGS are effective protein supplements for beef cattle.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it