Phenoxyacetic Acid Herbicide Exposure for Women on Ontario Farms
Bibliographic record
Abstract
Women living and working on farms would be expected to have higher exposure to pesticides than the general nonoccupationally exposed population. Urinary concentrations of the herbicides 2,4-dichlorophenoxyacetic acid (2,4-D) and (4-chloro-2-methyl) phenoxyacetic acid (MCPA) were measured in 125 women living on farms in Ontario where these herbicides had recently been used for the first time that growing season. The women collected a spot urine void prior to the start of herbicide handling by spouses, followed by 2 consecutive 24-h urine samples. The pesticide applicator provided questionnaire data on pesticides that were used on the farm. Approximately 80% of the women had no detectable level of either herbicide in their urine. Geometric mean urinary concentrations of 2,4-D and MCPA in the d-2 samples were 0.7 microg/L. The responses to the questions on herbicide use on the farm were compared with urinary levels of the herbicide and the sensitivity for MCPA was determined to be 95-100%; however, the false positive rate for exposure was 70%. For 2,4-D, the sensitivity and specificity were approximately 70%, with a false positive rate of 30%. A simple question on whether the herbicide was used recently can accurately identify people who are likely not exposed; however, further research is required to be able to more validly predict those individuals who are exposed. Based on our study, it was concluded that exposure estimates based on questionnaire data alone may be fraught with uncertainties, which may differ depending on the particular pesticide of interest.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".