Heavy Metal Analysis In The Kali Estuary: A Cause For Concern
Bibliographic record
Abstract
The Kali Estuary (140 80’58”N & 740 14’26.2”E) , located on the southwestern coast of India, is an important ecological system facing the threat of heavy metal contamination. The present study investigates the levels and sources of heavy metals in the estuary, focusing on water, sediment, and commercially important edible bivalve Meretrix meretrix. The analysis of heavy metals like Cadmium, Chromium, Nickel, Zinc and Arsenic reveals that elevated concentrations of metals are present in sediment and bivalve when compared with water. The heavy metals were observed in the following order Sediment Cr>Zn>Ni>As>Cd, Meretrix meretrix Zn> Ni> Cr>As>Cd and water Zn>Cd>Cr>Ni>As was observed. The geo accumulation of metals in sediment was negative and the bioaccumulation of Zinc and Nickel was observed in the Meretrix meretrix. Industrial activities, agricultural runoff, and natural weathering are identified as the primary contributors to this pollution in the Kali Estuary.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".