IMPROVEMENT OF TECHNOLOGY FOR ADAPTATION OF PLANT MICROCLONES TO EX VITRO CONDITIONS
Bibliographic record
Abstract
Перспективным методом получения высококачественного посадочного материала растений является метод клонального микроразмножения, который широко применяется в промышленных масштабах в Нидерландах, Италии, Канаде, Польше, Эквадоре и других странах мира для размножения сельскохозяйственных, цветочных, плодовых и других растениях. В Российской Федерации исследования в этом направлении, как правило, проводятся в лабораторных условиях, и только для некоторых плодово-ягодных культур, а также для картофеля, предлагаемые технологии размножения растений в условиях in vitro, имеют коммерческое применение. A promising method for obtaining high-quality planting material is the clonal micropropagation method, which is widely used on an industrial scale in the Netherlands, Italy, Canada, Poland, Ecuador and other countries of the world for the propagation of agricultural, flower, fruit and other plants. In the Russian Federation, research in this direction is usually carried out in laboratory conditions, and only for some fruit and berry crops, as well as for potatoes, the proposed in vitro plant propagation technologies are commercially applicable.
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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 | 0.000 | 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 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".