Current state and prospects for oil flax production
Bibliographic record
Abstract
The oilseed flax plays an important role in many sectors of the national economy and is characterized by unmatched medicinal properties.The main advantages of this crop in agriculture include high drought resistance, ability to withstand spring frosts, resistance to lodging and seed shedding, and high economic efficiency of production.From 2000 to 2022, global oilseed flax cultivation areas increased by 1.8 times.In terms of world regions, the largest cultivation areas for oilseed flax are in Asia, accounting for 44.2% of the world average.The leading countries in terms of cultivation areas are Canada, Russia, Kazakhstan, China, and the USA.The combined share of the leading countries in global cultivation areas is increasing and reached 88.3% in 2021-2022.In Ukraine, the situation with oilseed flax cultivation areas is unstable and varies significantly from year to year (from 14.0 to 68.7 thousand hectares).Global oilseed flax production volumes doubled from 2000 to 2022.The leading countries accounted for 67.6% to 87.7% of total production.Canada is the absolute leader, accounting for 26% of global production, significantly ahead of other countries.For Ukraine, this indicator is only 1.3% due to small cultivation areas.The highest amount of oilseed flax seed in our country was harvested in 2016 -92.2 thousand tons.There is a clear trend of increasing yields of this oil crop in Ukraine.If in 2000-2003 it was 0.25-0.29 t/ha, it reached 1.53 t/ha before the war period.The yield of oilseed flax seed in Ukraine exceeds the average yield levels of regions such as Asia and Europe, and in 2021-2022, other regions of the world as well.A comparative analysis with leading
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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 | 0.001 | 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".