Effect of the permanent presence of major agricultural drains on the Nile River water quality
Bibliographic record
Abstract
This work was designed to study the effect of major drains, such as El Rahawy, on the Nile's water quality over time. The data in this study includes six years of physical and chemical variables data, starting from 2015 to 2020, covering three different water streams. The present results showed that the Rosetta branch and Khandaq sharky canal were directly affected by the agricultural drainage of the Rahway drain, with the change over time for the worse. Rayah El Nasery canal enjoyed complete independence from the negative impact of the drain while maintaining the quality at an appropriate level over time. The study predicts a decline in the water quality of the Rosetta branch in the future and recommends exerting more efforts to treat all pollutants that are discharged on the Nile and raise the efficiency of the Rahawy drain.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".