Bibliographic record
Abstract
Abstract Flax ( Linum usitatissimum ) is an ancient crop grown for either its linen fiber (fiber flax) or its highly polyunsaturated seed oil (linseed). In recent times, the whole seed and the extracted oils have also become highly valued nutritional supplements due to their rich content of lignans and ω‐3 fatty acids. Compared to other more major crops, flax is relatively little studied from the genetic, cytogenetic, and molecular genetic perspectives. Nonetheless, significant achievements in improving yield, agronomics, and disease resistance were made during the 1900s using conventional plant breeding and selection techniques. The natural gene pool for flax is limited to L. usitatissimum and its respective annual and biennial progenitors, L. angustifolium and L. bienne , which significantly limits the opportunity for further genetic improvement. Consequently, mutation breeding techniques were successfully applied in the 1980s to alter the fatty acid composition of the seed and develop a new low‐linolenic form (Linola) that has been used as an alternative to sunflower and safflower oils in polyunsaturated margarine manufacture. More recently, flax has proven to be highly amenable to genetic transformation using Agrobacterium‐mediated approaches. This capability is likely to provide most of the future achievements in flax improvement in the areas of yield, abiotic stress tolerance, disease resistance, herbicide tolerance, insect tolerance, and diversification of product quality.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.140 | 0.075 |
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".