Economic Value of Polymer Seed Coat for Fall‐Seeded Canola
Bibliographic record
Abstract
Applying a polymer seed coat (PSC) to canola (Brassica napus L. and B. rapa L.) seed could be economically beneficial for dormant fall seeding. Field trials at three locations and across 3 yr were used to evaluate the effect of seeding date, use of a PSC, and canola cultivar on crop yield and net returns. The net returns were used to estimate the economic value of using a PSC for three locations, two seeding dates, and four canola cultivars. Net returns differed across locations, and cultivar differences occurred in one of the three locations. Net returns were higher for late‐fall seeding, compared with early‐fall seeding, with or without the use of a PSC. The value of a PSC was generally positive for early‐fall seeding and negative for late‐fall seeding. However, at a location prone to midwinter mild spells during which seed germination could occur, the PSC generally had no value. Despite the PSC having a positive value for early‐fall dormant seeding, its potential use will be limited because early‐fall seeding with a PSC had lower net returns than late‐fall seeding without a PSC.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".