Dissolved Gaseous Mercury Profiles in Freshwaters
Bibliographic record
Abstract
The importance of microbial processes for the regulation of dissolved gaseous mercury (DGM) in deep freshwaters has not been previously investigated. In this study, we evaluated microbial mercury reductase and oxidase activities in depth profiles from Jack's Lake. In addition, detailed DGM depth profiles were determined for four sampling stations on Lake Ontario. Our results illustrate that microbial processes are an important factor regulating DGM in the hypolimnion. Levels of DGM in William's Bay in Jack's Lake were 6 times higher than that observed at Brooke's Bay. This was accompanied by a 10 fold reduction in mercury oxidase activity in William's Bay. When DGM concentrations are expressed on an aerial basis, DGM concentrations above the thermocline in Lake Ontario average 1.5 ng DGM m-2 and in small freshwater lakes it ranged between 0.1 and 0.8 ng DGM m-2. Further, it was demonstrated that the majority of DGM in large freshwater lakes such as Lake Ontario exists below the thermocline where photochemical oxidation and reduction processes cannot occur. The importance of this DGM to atmospheric flux rates is discussed.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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; both teacher heads agree on what is shown here.
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".