Effect of sewage polluted by heavy metal on domestic crops
Bibliographic record
Abstract
The application of sewage water (SW) to irrigate and feed agricultural crops in Mexico is widespread due to the problem of scarcity in the country, and in the world. Agricultural crops not eaten raw irrigated and fed with SW benefit and/or harm directly or indirectly by the chemical composition that in industrial cities that includes heavy metals of risk to human health. The objective of this work was to analyze the effect of sewage with heavy metals on the growth and yield of an agricultural soil of "El Canada" N.L. Mexico. Compared with plant growth and yield in a soil from Cadereyta, Nuevo León, Mexico in greenhouse irrigated with ground water and conventional chemical fertilization. For which the concentration of heavy metals of the SW in the plant and the soil was determined. The results show that the SW used in the irrigation of agricultural crops supported plant growth. With no evidence that heavy metals caused any negative effect on plant growth and yield, despite the length of SW use, it is believed that some of these crops have developed tolerance to heavy metals regarding the risk to be consume by humans and animals
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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".