Assessment of the water quality of the mollusa community in the Janabi River-Hayy City of Wasit Province by using Canadian water quality index
Bibliographic record
Abstract
The Canadian Environment Council Water Quality Index (CCME-WQ) of the Janabi River water at Hayy City in Wasit Province has been assessed and analysis for over all, drinking water and aquatic life and the impact of the river environment on presence and mollusca community. The samples were collected monthly during 2020-2021, Most of the variables exceeded the Iraqi and global permission limits. It was clear that this index values was marginal category for over all purposes which ranged from 45-48 at all sites, while this index values was poor- marginal categories which ranged from 37-50 for all season. The water quality index values was poor category for drinking purposes which were recorded from 40 -42 for all sites, also it was poor category which was ranging from 31-44 for all season. The values of this index for aquatic life was in the poor-marginal category which ranging from 38-61 for all sites and in the marginal- fair categories which ranging from 61-67 for all season. Nine species of mollusca was identified belonging to seven families. Two species of Melanopsidae and Cyrenidae and one species for Thiaridae, Physidae, Neritidae, Dressseinidae and Unionnoidae. It was concluded that the water of the Janabi River was highly polluted and undrinkable water characterized, as well as, it’s a clearly appeared impact of the river water quality on the mollusca densities
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".