Impact of Lake Expansion on Mercury Concentrations in Lake Sediments, Mackenzie Bison Sanctuary, Northwest Territories, Canada
Bibliographic record
Abstract
Spatial and temporal variations in total mercury, organic matter and lake surface area were assessed to determine if flooding in the Mackenzie Bison Sanctuary was influencing Hg inputs to lake sediments. Mercury concentrations in the sediment of lakes examined are below established guidelines. All lakes demonstrated increased Hg concentration and flux over the past century. Two expanding lakes exhibited maximum total Hg values in surface sediments which correlated with peaks in water surface area and changes in source of organic matter. Reference lakes demonstrated declining total Hg values in recent sediments and no correlation with organic matter or water surface area. This study presents land users and managers with a preliminary assessment of Hg concentrations within MBS lakes. Recommended future work should focus on methyl mercury concentrations and methylation rates in sediments, which often increase after landscapes are flooded, and can pose risks to wildlife species relying on the ecosystem.
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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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".