Pesticides dissipation in crackers and pan bread
Bibliographic record
Abstract
Summary Pesticides might cause health problems and must be thoroughly controlled in food. The aim of this study was to determine, on dry basis, the dissipation of active material in sixteen pesticides for wheat production (eleven fungicides; two herbicides; three insecticides) after heating in water, flat dough (crackers) and leavened dough (pan bread); the effect of dough alkalinity was also checked. Compared to water, dough protected pesticides from heat. Malathion, an insecticide, was easily dissipated by heat but most pesticides, especially fungicides, were very stable to dough fermentation and bread baking. With a few exceptions, similar trends were seen in neutral and alkaline crackers. We conclude that it is unlikely that baking would dissipate much pesticides residues, especially fungicides, in flat and leavened dough for crackers and pan bread.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".