The accumulation of silver in marine sediments: A link to biogenic Ba and marine productivity
Bibliographic record
Abstract
The concentrations of Ag and a suite of redox‐sensitive trace metals (Re, Cd, and Mo) were measured in surface sediments from the Western Canadian, Mexican, Peruvian, and Chilean continental margins. In all regions, Ag content increases from ∼80 ng g −1 (i.e., lithogenic values) on the shelf up to as high as 1483 ng g −1 on the lower slope. However, the trend of increasing Ag with increasing water depth breaks down at deepwater sites (>2500 m) where only lithogenic concentrations are documented. Silver content does not correlate with the distributions of redox‐sensitive trace metals, suggesting that sedimentary redox conditions are not the primary control on Ag accumulation. Instead, a positive correlation between Ag and Ba in surface and near‐surface sediments suggests that Ag is scavenged by and delivered to the sediment with the organic particle flux. Scavenging probably results from the precipitation of Ag 2 S within the organic particles due to the development of anoxia and sulfate reduction. If this hypothesis is correct, then Ag has the potential to be a paleoproductivity proxy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 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".