Neonicotinoid pesticides and the perspectives of their use with respect to the toxicological properties (literature review)
Bibliographic record
Abstract
The purpose of the Research. Analysis and generalization of current literature data on the toxicological properties of neon-icotinoid pesticides and the justification of their prospects for further use in view of human health hazards. Methods and Materials of the Research. Analytical methods were used in the work: collection of scientific information on the problem, analysis of the abstract database and scientific generalization of the obtained results. Results and Conclusions. On the basis of the analytical review of the current literature, data on the toxicological properties of neonicoti-noid pesticides are summarized and the prospects for their further use are substantiated. Information on toxicity results of pesticide active substances from neonicotinoid classifications has been systematized according to acute, short-term, long-term experiments and longterm animal effects studies, the values of the acceptable daily intake (ADI) of neonicotinoids, which are established in Ukraine and in the countries of the European Union, Australia, Canada, are given. The consequences of human exposure to acute and chronic exposure to neonicotinoid pesticides have been considered. Based on the analysis of scientific data on the toxicological significance of neonicoti-noid pesticides for experimental animals and human health, it has been established that thiacloprid and acetamiprid have the most dangerous toxicological profile. Given the revealed endocrine disruptive properties of thiacloprid, it is a candidate for reassessment by the national regulatory authorities of the rules of application and possible replacement by safer alternative plant protection products. Acetamiprid is also of great concern because it is able to have a toxic effect on fetal development. Therefore, when assessing the potential danger of acetamiprid for humans and determining the prospects for future use in agriculture, it is necessary to consider its neurotoxic effect on posterity. Key Words: neonicotinoids, toxicological properties, danger, poisoning, human health.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".