Development of industrial feed for channel catfish grown in the Central Federal District of the Russian Federation
Bibliographic record
Abstract
In the result of the analysis of domestic experience over the last 10 years of foreign experience (for example, 9 countries: Vietnam, India, Spain, Canada, China, Norway, USA, Chile, Japan, which possess the most advanced technologies and equipment for highly efficient production of feed for fish) in the development of innovative technologies and equipment for production of high-performance fish feeds were identified that the methods both dry and wet pressing are outdated and do not meet modern requirements in the production of fish feeds since it does not allow a deep physical-chemical transformations in protein-carbohydrate complex and exercise enter fat components at 40 %. Modern fish technologies are based on the use of extrusion processing of multicomponent mixture to give different buoyancy and adjustable rate of immersion of the resulting feed. Extrusion technology will allow to introduce a large amount of fat into the product - up to 35-40 %, to achieve 100 % starch splitting level. Based on the study of the nutrition of the canal catfish grown in the Central Federal District of the Russian Federation, the nutritional value of each of the components of the feed mixture, providing the need for fish to ensure a significant increase in the growth of live mass and improve the chemical composition of meat, was assessed for different age groups. To solve this problem, the "Feed Optima Expert" optimization program has developed products of extruded feed. Food needs of canal som: 30 - 40 percent protein, 4 - 6 percent fat, no more than 5 percent fiber, 35 - 40 percent Nosazotic Extract substances and 12 - 13 thousand kilos of Joule digestible energy in 1 kilogram (in recalculation on dry matter).
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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 | 0.000 | 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 | 0.001 | 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".