STUDY OF SOWING QUALITIES OF SOYBEAN SEEDS IN SEED FARMS OF AMUR REGION
Why this work is in the frame
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Bibliographic record
Abstract
An analysis of soybean seeds prepared for sowing in the farms of the Tambov, Konstantinovsky and Ivanovo districts of the Amur Region was carried out. In the farms of the surveyed areas, in the structure of sown areas, the main soybean crop is cultivated, which constitutes a share in the structure of crop rotation of more than 70 %. For sowing, 9 varieties of soybean are prepared by the Soybean Institute and 2 varieties of breeding in Canada and Ukraine. Of the 9 varieties, 7 belong to medium ripe and 2 varieties to late ripe groups. The area of soybean sowing in the region is 70 % occupied by the breeding varieties of the Soybean Institute. The quality of the tested seeds of 9 soy varieties is not at the proper level. Of the 27 seed lots tested, 9 varieties of 10 lots (37%) belong to the second category (according to the purpose, these seeds of the second and third reproductions sown on seed plots of seed farms). Weather conditions in 2020 unfavorably developed on the quality of soybean grain harvesting. To improve the situation under the sowing of 2021, in the whole region, the share of elite soybean seeds, the production of the Soybean Institute, increased 1.8 times.
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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 | 0.000 | 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 it