Chemical Composition and Available Energy Contents of Canola Meal from Canadian Crushing Plants
Bibliographic record
Abstract
Samples of canola meal (CM) were collected from thirteen canola crushing plants in Canada. On average, the contents of various components in % dry mater (DM) were as follows: crude protein (CP) 40.3; ether extract (EE) 2.9; acid hydrolyzed EE (AEE) 6.0; sucrose 5.92; oligosaccharides 3.22; total phosphorus (P) 1.13; non-phytate P 0.33; neutral detergent fiber 30.7; total dietary fiber 40.0; neutral detergent insoluble CP 5.0; lignin and polyphenols 11.7; lysine 2.19; arginine 2.28; methionine 0.74; cystine 0.92 and threonine 1.57 and in µmol/g DM, glucosinolates 2.75. The apparent metabolizable energy content of CM averaged 1,789 kcal/kg. Digestibilities of EE and AEE averaged 81 and 53%, respectively. In summary, variations in the chemical composition of CM would indicate different processing practices between crushing plants. Low digestibility of AEE would indicate that soapstocks and gums poorly digested and contribute less energy to the AMEn content of CM than EE.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".