ANALYSIS OF EFFICIENCY INDICATORS OF FLAX FOR OIL CULTURES
Bibliographic record
Abstract
The origin of area of the flax for oil is considered to be the center and west of Asia, from where it spread to the west and north. At present, about 50% of the area cultivated with oil flakes is in Asia (India being the largest cultivator, followed by China), about 25% of the cultivated area is in North America (Canada). Europe grows flax for oil in UK, France, Russian Federation, Belarus and Ukraine (which are seriously investing in the production of linseed for oil, which they export to Europe). The causes that hinder the expansion of culture in European countries are low production and inconsistency ,as well as strong competition from Canada's seed imports. The European Union is the largest consumer of seeds and flax for oil. In Romania, in recent years, the interest of farmers for this culture has diminished greatly due to the lack of demand for linseed oil on the Romanian market. In the paper we have conducted an economic efficiency study for this crop, for two years, a study conducted within a plant farm in Timis County.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".