Canola Genetic Engineering for Long-Term Agriculture and Global Food Security
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Throughout the globe, abiotic stress is a serious threat to agriculture. Moreover, the extreme climatic conditions like drought, flooding, global warming and others are the major yield-limiting factors for crop plants and impacts forceful challenges to global crop production. Contribution of <em>Brassica Napus</em> is more towards the oilseed industry and has also achieved worldwide acceptance. It is the third most important source for vegetable oil for human consumption after palm and soybean oils. Canola crop is widely used as vegetable oil and meals for animals and is one of the first genetically modified crops to reach commercial markets of Canada. Genetic modification is required to protect these kinds of crops from various kinds of stress such as metal stress, extreme climatic conditions, drought and saltiness. In this review, we have discussed the current and future role of genetic engineered canola to sustainable agriculture systems.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it