Low-Fiber Canola. Part 1. Chemical and Nutritive Composition of the Meal
Bibliographic record
Abstract
The objective of the current study was to evaluate the chemical and nutritive composition of meals derived from a newly developed yellow-seeded Brassica napus canola and the canola-quality Brassica juncea . In comparison with its conventional black-seeded counterpart, meal derived from yellow-seeded B. napus canola contained more protein (49.8 vs 43.8% DM), more sucrose (10.2 vs 8.8% DM), and less total dietary fiber (24.1 vs 30.1% DM). B. juncea canola showed intermediate levels of protein, sucrose, and dietary fiber (47.4, 9.2, and 25.8%, respectively). The reduction in fiber content of yellow-seeded B. napus canola was a consequence of a bigger seed size, a lower contribution of the hull fraction to the total seed mass, and a lower content of lignin with associated polyphenols of the hull fraction. The meal derived from yellow-seeded B. napus canola would appear to have quality characteristics superior to those from black-seeded B. napus or yellow-seeded B. juncea.
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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) | 0.000 | 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".