Financial Returns to Processing Tomatoes from Cover Crop Investment in Southwestern Ontario
Bibliographic record
Abstract
This thesis focuses on the cumulative yield and profitability from cover crops (oats, rye, radish, and a radish/rye mixture), the application of 140 kg ha-1 of nitrogen fertilizer and wheat straw removal on processing tomatoes. Field trial data from the University of Guelph Ridgetown campus provides the opportunity to fill an important gap in knowledge related to cover crop effects on tomato yield and profitability. The 6-year average yield results show that all cover crops produce statistically significantly higher tomato yields compared to the control of no cover crop. The application of additional nitrogen also produces statistically significantly higher tomato yields while straw removal shows no statistically significant yield effect on tomatoes. Partial budget analysis of the yield increases shows that all cover crop treatments and combinations of treatments result in net positive economic gains to producers, except for straw removal without extra nitrogen application for oats, rye, and radish.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.005 | 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".