Plant exposure to glyphosate-based herbicides and how this might alter plant physiological and structural processes
Bibliographic record
Abstract
Chemical weed control is essential to ensure high levels of productivity in agricultural areas, and glyphosate-based herbicides (GBHs) are the most widely used herbicides on a global scale. Glyphosate-based herbicides inhibit the 5-enolpyruvyl-shikimate-3-phosphate synthase (EPSPS) enzyme, which impairs the shikimate pathway and often leads to plant death. However, indirect effects of GBHs on plant physiology can also lead to plant death. The objectives of this review are to discuss the biochemical, physiological, and structural changes that GBH application produces in plant species, in addition to inhibiting EPSPS (EC 2.5.1.19), and to reveal how these changes contribute to plant death. We conclude that GBHs promote plant death not only through EPSPS inhibition but also through biochemical, physiological, and structural changes. Some changes are recurrent and can be used as biomarkers of GBH sensitivity, which can contribute to future works that monitor the presence of these herbicides in plant communities near agricultural areas.
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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) | 0.001 | 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".