Relationships of Copper Concentrations between the Different Soft Tissues of Telescopium telescopium and the Surface Sediments Collected from Tropical Intertidal Areas
Bibliographic record
Abstract
In this paper, the relationships of Cu concentrations between the snail’s different soft tissues and surface sediments were evaluated by using multivariate analysis, namely cluster analysis, correlation analysis and stepwise multiple linear regression analysis. Three findings can be highlighted based on the present study. First, different concentrations of Cu were found in the different soft tissues, indicating different mechanisms of sequestration and regulations of Cu in these different tissues. By comparing the Cu concentrations in similar tissues, spatial variations of Cu were found in the different sampling sites although there was no consistent pattern of Cu in these sampling sites. Second, the digestive caecum was a better biomonitoring organ for Cu contamination. Third, higher Cu contamination might not necessarily result in higher Cu bioavailability to T. telescopium based on the cluster analysis. In general, all the different soft tissues could be used as biomonitoring tissues of Cu bioavailabilities and contamination in Malaysian intertidal mudflats provided they were statistically analyzed by using a multivariate approach. To our knowledge, this is the most comprehensive study of Cu accumulation in the different soft tissues of T. telescopium from tropical intertidal area in relation to sediment data.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".