Halosulfuron Interactions with other Processing Tomato (Lycopersicon esculentum Mill) Herbicides
Bibliographic record
Abstract
Tomatoes are an economically important crop in Ontario that can be adversely affected by weed interference. Halosulfuron is a relatively new herbicide that can provide broad-spectrum weed control when applied in a tankmix solution and can provide solutions for growers who have triazine-resitant weeds. Herbicide tankmixes could interact antagonistically, additively or synergistically. Experiments in Ridgetown, ON were repeated 4 times over 2 years (2015 and 2016) in order to determine if there were any antagonistic, additive or synergistic interactions on tomato injury and weed control efficacy between halosulfuron at three rates (25, 37.5 and 50 g ai ha-1) and commonly used POST and pre-transplant tomato herbicides. Results suggested no increase in tomato injury. There were additive interactions between halosulfuron and other broadleaf tomato herbicides. Results showed antagonistic interactions between halosulfuron and POST tomato graminicides. Halosulfuron will provide growers with an additional tool to improve weed control and combat triazine-resitant weeds.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".