The Environmental Impact of Pollutants and Heavy Materials on the Water Quality in the Tigris River
Bibliographic record
Abstract
This research aims to understand the characteristics of the Tigris River and the possibilities of human use in Baghdad.Samples for this study were collected for analysis from three separate districts in Baghdad, Iraq.Three sites in the upstream, middle, and lower downstream regions of the study area were used to collect river water samples (East Tigris Water Project, Al-Shuhada Bridge Project, and Al-Rasheed Project).To verify that the water is suitable for human needs including drinking water, agriculture, and industry, several tests have been carried out; The study data from the year (2005-2020) PH, Cl, NO3, PO4, SO4, Na, Ec, Ca, K, Mg, TH and TDS are among these tests.And the results of the three projects in the water characteristics of the Baghdad River.The results showed that SO4 was within the allowed in (East Tigris Water Project, and Al-Shuhada Bridge Project) and was higher than allowed in Al-Rasheed Project, while (PH, NO3, PO4, Ca, TH, and K) were all within the allowed range (Project East Tigris Water, Al-Shuhada Bridge Project).According to the World Health Organization, Ec had readings a few above the permissible levels and the TDS was above the permissible limit.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".