Environmental Impact Assessment of Rice Growing in the Kyzylorda Region
Bibliographic record
Abstract
In the context of the growing ecological crisis caused by climate change, irrational use of water resources and environmental pollution with dangerous pollutants, an important role is played by assessing the role of environmental damage from crop production.The authors analyzed the environmental compatibility of modern rice production in the main rice growing region in the Republic of Kazakhstanthe Kyzylorda region.The work included theoretical calculations of methane greenhouse gas emissions throughout the region for the entire vegetative season.And also calculated the costs of water resources for irrigation of rice fields, including water leaving for evaporation from the water surface, evapontranspiria, saturation of the soil, filtration flow and outflow into the drainage network.In the grain of rice varieties "Aikerim" and "Favorit" grown in the Kyzylorda region, residual amounts of such toxic substances as organochlorine pesticides (HCH α, β, γ-isomers, DDT, DDE) were determined.Heavy metals (cadmium, lead, arsenic and mercury) were also determined in these varieties of rice.
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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".