Selenium Bioaccumulation in Freshwater Organisms and Antagonistic Effect against Mercury Assimilation
Bibliographic record
Abstract
We present evidence of selenium bioaccumulation at lower levels of the aquatic food chain and its antagonistic effect against mercury and methyl mercury assimilation in the aquatic food web. Most of our studies were carried out in freshwater lakes of the mining region of Sudbury, Ontario, Canada where the presence of metal smelters has introduced elevated levels of selenium in the surrounding terrestrial and aquatic ecosystems. The studies with different types of aquatic organisms demonstrate a consistent inverse relationship between concentrations of mercury/methyl mercury and selenium in whole bodies (zooplankton, benthic invertebrates, mayflies and amphipods, beetle larvae and newly hatched perch) or in muscle, liver and brain (perch and walleye). This antagonistic effect was also observed in laboratory controlled experiments with the incubated soil and surface water bacterium Pseudomonas fluorescens. We also present some information on Se accumulation at different levels of the food web with samples collected in the past years in order to provide an insight for estimating the potential risk of selenium bioaccumulation and its possible detrimental consequence on aquatic ecosystems. Selenium could be considered as an indicator of susceptibility of fish to Hg toxicity.
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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 | 0.000 |
| 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) | 0.001 | 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".