Bibliographic record
Abstract
● Approximately 10,000 acres of canola are planted and harvested annually. ● Yields average over 2000 pounds per acre, with product valued at $0.11 per pound. ● Canola provides a cash value of $2,200,000 per crop year to the Washington economy. ● Production costs average $130 per acre for all unfixed costs (i.e., seed, planting, fertilizer, pesticides and harvest). "Canola " is a marketing name registered by the Western Canadian Oilseed Crushers Association for food-quality rapeseed oil. Generic rapeseed oil is not edible and is used only as a machine lubricant or for diesel-like fuel for farm machinery. Canola is low in erucic acid and low in glucosinolate, making it suitable for human consumption and, in fact, superior to other food oils in certain qualities associated with dietary health. Canola produced in Washington (Brassica napus x Brassica campestris, Brassica x Hybrids) is sold as raw seed for crushing into canola oil. The seed contains approximately 40 % oil. The remaining by-product is a high-protein meal used for animal feed. Production Regions Canola is produced only in the intermediate and higher rainfall zones of the dryland areas of eastern Washington. It is excluded from the irrigated areas of the Columbia Basin by state law to prevent possible hybridity with other Brassica seed crops and to exclude such diseases as blackleg and Phoma.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.797 | 0.703 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".