Examination of the Quality Indicators of Haraz River Water, Inflow and Outflow of Water of Fish Farm
Bibliographic record
Abstract
This study was an attempt to examine the quality indicators of Haraz River water inflow and outflow of water of fish farms. This study aimed to prove and assess the water pollution status of Haraz River and investigate the impact of fish farms on river water quality. Sampling was performed in two seasons of summer and autumn of 2015 in seven stations of river water and inflow and outflow of farms water. Quality pollution index includes (temperature, phosphate, nitrate, nitrite, ammonia, electrical conductivity, BOD, COD, PH Were measured. Comparison of the results with the allowable values of Iran code and waste water standards showed that the factors in all samples and both seasons were in the allowable range and the rate of these indicators in autumn is higher than the summer. The amount of ammonia, carbon and total phosphate in summer is higher than the autumn. The findings of the results reveal that the proper quality and cleanliness of Haraz River water in the study area show that the activity of farms doesn’t have a significant effect on the quality index of Haraz River water.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".