STUDYING THE GENE POOL OF OIL CROPS IN NORTHERN KAZAKHSTAN
Bibliographic record
Abstract
The article presents the results of studying the diversity of oilseeds in the conditions of the Agricultural Experimental Station «Zarechnoye». The nursery of the gene pool of oilseeds is represented by: 200 varieties of soybeans 000, 00, and I maturity groups, in addition to spring rapeseed 56, oil flax 36 and sunflower 51 varieties. These varieties are represented by the selection of Russia, Kazakhstan, Canada, France, Ukraine, Poland, USA, Belarus, Sweden, Japan, China, Czech Republic, Czechoslovakia. And there are also varieties that are the result of the selection work of scientists "Agricultural Experimental Station «Zarechnoye»: four varieties of sunflower (Zarechny, Sary, Rauan, Kosnur), three varieties of oil flax (Altyn, Kustanaisky 11, Kazar), one variety of spring rapeseed Gulsary, soybeans are represented on the farm by four varieties (Ivushka, Severnoye siyaniye, Daneliya, Svetlyachok). Breeding work with soybeans is carried out jointly with scientists from the Kazakh Research Institute of Agriculture and Crop Production. To conduct breeding work and further crossing the best parental forms, it selects varieties according to the following economically valuable traits: yield, oil content, weight of 1000 seeds. In addition, due to the short frost-free period in the Kostanay region, varieties that are able to ripen under these conditions are valuable (rapeseed 90-100 days, oil flax 75-80 days, sunflower 85-95 days, soybeans 90-100 days).
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".