Carbon dynamics control contemporary mercury burial in Arctic Ocean sediments
Bibliographic record
Abstract
Understanding the high mercury concentrations observed in Arctic ecosystems requires in-depth knowledge of mercury cycling. Here, we show that variations in mercury concentration in the sediments of the North American Arctic Margin and the Arctic Ocean basins can be explained by carbon sources and cycling. Sedimentary mercury concentrations are predicted (p < 0.001) considering three carbon sources and, in some areas, the recapture of soluble mercury released during burial. Terrigenous organic carbon dominates mercury delivery (50-90%) in the western North American Arctic Margin, whereas inorganic carbon predominates at many eastern sites (40-70%). Marine organic carbon contributes <15% of the total mercury concentration. Mercury–organic carbon endmember ratios of terrigenous and marine organic carbon are higher in deep Arctic Ocean basins than in the continental margin, likely due to greater organic matter remineralization during transit. The observed enrichment in mercury toward the sediment surface results from remineralization of organic carbon, not from an increase in mercury flux. Mercury concentrations in sediments of the North American Arctic Margin and the Arctic Ocean basins can be entirely explained by carbon sources and cycling, according to analysis of sediment cores from the polar ocean.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".