Comparative assessment of ground water quality in Kokrajhar, India.
Bibliographic record
Abstract
A study was undertaken to understand the comparative assessment of ground water quality of Kokrajhar in both pre and post monsoon seasons. Kokrajhar is witnessing a considerable growth in terms of population and urbanization. Ground water plays a crucial role for consumption and in supporting daily activities of the local population. With the potential risk of groundwater contamination due to various activities, it is essential to assess the quality of this vital resource in order to meet the needs of the local population. In this study, ground water samples were collected from 20 different locations during both pre and post monsoon periods. The ground water samples were tested for 12 different parameters. The geo-locations of the sample points were mapped using GIS software and contour maps were generated for various test parameters. The ground water quality was determined using two methods: The Weighted Arithmetic Index method and the Canadian Council of Ministers of the Environment Water Quality Index method. The result obtained from both the methods have been compared. A very small to some significant changes in different parameters were noted when both pre and post monsoon ground water samples were considered.
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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 | 0.000 |
| 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".