A 6,000-years record of atmospheric mercury accumulation\nin the high Arctic from peat deposits on Bathurst Island, Nunavut,\nCanada
Bibliographic record
Abstract
\nThere is a growing interest in the atmospheric transport, deposition, and accumulation of anthropogenic Hg in the Arctic. To quantify the impact of industrial Hg emissions, the natural rate of atmospheric Hg\naccumulalion must be known. Mercury concentration measilrements and age dating oi peatfrom the Canadian\nArctic show that natural “background” Hg flux rather constant (ca. 1 microgram per sq. m per yr.) throughout the\npast 6,000 years. Mercury concentrations in surface peat layers are much higher, but chronology ofthese changes\ncannot be interpreted until more age dates are available. The elevated Hg concentrations in surface layers,\nhowever, are out of proportion with Br and Se, suggesting that there has been a significant human impact. Peat\ncores from southern Canada provide a record of atmospheric Hg accumulation extending back nine thozisand\nyears, with similar backgroundfluxes. Thus, pre-anthropogenic Hg fluxes in the High Arctic were not significantly\ndifferentfrom atmospheric Hg fluxes in the temperate Zone.\n
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".