Results of growing Siberian sterlet juvenile in the conditions of the Beloyarsk Fish Hatchery of the Krasnoyarsk region
Bibliographic record
Abstract
Studies on the rearing of sterlet from wild and grown producers were carried out in the production conditions of the fish-breeding enterprise TOSP "Beloyarsk Fish-breeding Plant" of the Federal State Budgetary Institution "Glavrybvod" (Krasnoyarsk) in 2020 and 2022. With a complete transition to external nutrition, the sterlet larva was placed in pools with a planting density of 6 thousand copies / m2. Water consumption was 20-23 l/min. As the larvae grew, they were planted, and at the time of reaching an average weight of 1 g, the planting density was 2 thousand copies / m2. With an increase in water consumption to 25-30 l/min. The average daily water temperature during the growing period ranged from 12.5-17.0 °C. The content of oxygen dissolved in water was in the range of 9.1-11.0 mg/l. Different approaches to methods of growing larvae have been studied. To compare and evaluate our results, we used instructions and standards developed by the Glavrybvod of Russia and used for island farms. In 2020, up to 10 days, the larva was grown only using artemia nauplia. Then, the starting compound feed was gradually introduced. The feed was diluted in water and distributed at the beginning simultaneously with artemia, then alternating feedings. Coma was broadcast at 30-minute intervals up to 20 days of growing and at the end of the growing period after 1 hour. For 20 days, they have completely switched to compound feeds. As a result of the study, it was revealed that it is more rational to introduce starter feeds in the form of dust from the moment the sterlet larvae start feeding. This technique made it possible to reduce the time of growing juveniles to a standard weight of 1 g for five days, with approximately equal preservation of juveniles.
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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".