Optimization of Feed Peas, Canola and Flaxseed for Aqua feeds: the Canadian Prairie Perspective
Bibliographic record
Abstract
Supplies of marine fish oils and fish meal are limited and continued growth in aquaculture productiondictates that substitutes must be found that do not compromise fish performance and product quality. Whenselecting potential vegetable protein and lipid sources as substitutes for fish meal and fish oil in coldwateraquatic diets, protein and energy availability in addition to the content of polyunsaturated fatty acids mustbe considered. Literature studies demonstrate that further processed plant protein and energy ingredientsare good alternative feed ingredients for aquatic species.Worldwide, Canada is one of the largest producers of field peas, canola and flaxseed with the greatestamount of production occurring in Saskatchewan. Enhanced market opportunities for the use of peas,canola and flaxseed, either locally or abroad, would be beneficial to producers in western Canada. The aquafeed industry provides a unique opportunity for processed pulse and oilseed crops since feeds for use inaquaculture are the fastest growing sector of the animal feed industry worldwide.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".