CONTENT OF CADMIUM (CD) AND LEAD (PB) IN SEDIMENTS AND ORGANISMS (GREEN MUSSEL PERNA VIRIDIS LINNAEUS AND OYSTER CRASSOSTREA GIGAS THUNBERG) AT VUNG THUNG, DA NANG CITY
Bibliographic record
Abstract
Through 2 sampling times (March and August, 2011), the results of analyzing content of Cd and Pb in sedimentary samples indicated the signs of heavy metal pollution (Cd and Pb) in Vung Thung area, Da Nang city. Specifically, Cd content ranged from 0.54 to 1.58mg/kg (dry weight), some sediment samples was from 1.23 to 2.26 times higher than TEL (threshold effect level; < 0.7mg/kg dry weight) of ISQGs (Interim marine sediment quality guide-lines, Canada). Concerning to Pb, its content was in the range of 18.37 - 87.29mg/kg (dry weight), of which most samples were from 1.13 to 2.74 times as high as TEL (≤ 30.3mg/kg dry weight). In regards to heavy metal content in tissue of oyster and green mussel, cadmium content in both of two species was lower than standard (≤ 2mg/kg wet weight) of Ministry of Health (QCVN 8-2:2011/BYT), however, lead content accumulated in oyster is from 2.21 to 2.56 times higher than the allowed limit of Ministry of Health (≤ 1.5mg/kg wet weight), in green mussel was from 1.01 to 3.28 times as much as the allowed limit. The results from correlation analysis showed that the correlation between cadmium in sediment and in tissues of both species was weak, but Pb content in sediment correlated significantly with Pb content in tissues of both species, specifically, correlation coefficient was equal to 0.76 within oyster and 0.72 within green mussel. Indeed, oyster and green mussel can be used as bio - monitoring to evaluate lead pollution in marine environment.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".