Environmental Concentrations of Agricultural Herbicides
Bibliographic record
Abstract
The herbicides 2,4-D (2,4-dichlorophenoxyacetic acid) and triallate [S-2,3,3-trichloroallyl di-isopropyl(thiocarbamate)] are extensively used to control broadleaf and wild oat (respectively) weed infestations in Canadian cereal crops. In 1990, for example, more than 3.8 million kg of 2,4-D and 2.7 million kg of triallate were applied in the three prairie provinces (Alberta, Saskatchewan, and Manitoba). Maximum air concentrations of these two herbicides during the summers of 1989 and 1990 near Regina, Saskatchewan, were 3.90 ng m(-3) (2,4-D) and 60.04 ng m(-3) (triallate). Concentrations of these two herbicides were also measured in bulk atmospheric deposition (wet plus dry) and in farm pond water and associated surface film. Maximum measured levels of 2,4-D were 3550 ng m(-2) d(-1) (bulk deposition), 332 ng m(-2) (surface film), and 290 ng L(-1) (pond water). Maximum levels of triallate were 2300 ng m(-2) d(-1) (bulk deposition), 212 ng m(-2) (surface film), and 500 ng L(-1) (pond water). The highest quantities of the herbicides tended to be found during or immediately after the time of regional application. The movement of the herbicides in the environment will be discussed in relation to the four matrices studied.
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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 | 0.001 |
| 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) | 0.002 | 0.001 |
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".