Distribution and origin of organic matter in marine surface sediments on the Canadian Beaufort Shelf
Bibliographic record
Abstract
The Arctic Ocean's continental shelves are undergoing changes due to the effects of climate warming.As a result of increasing river discharge, deeper permafrost thaw, and coastal erosion, large amount of previously frozen carbon, nutrients and contaminants are being released into the nearshore zone.However, the interactions between these factors, the impact of external influences, and the fate of terrestrial organic matter are still unclear.This study aims to investigate the source and deposition patterns of organic matter in the Canadian Beaufort Sea.In fall of 2021, short cores were taken from 25 position along five transect that covered the Beaufort Sea Shelf.The upper two centimeters of the marine sediments were analyzed for organic carbon, nitrogen, mercury, and grain size.In addition, bulk 14 C radiocarbon ages and stable isotope ratios (δ 13 Corg and δ 15 Ntot) were used to help distinguish sources and degradation status of terrestrial organic matter.Results show that the material is predominantly finegrained clayey silt, and the bulk surface ages vary between 5500 and 10000 years before present.There are specific spatial distribution patterns of carbon and nitrogen, which highlight the influence of bathymetry, currents, and distance to the Mackenzie River delta on transport and degradation mechanisms of organic matter.Stable isotope composition shows a clear signature of terrestrial material on the shelf, whereas burial efficiency decreased with increasing distance from shore.Additionally, mercury distribution, influenced by grain size, organic matter content, and water depth, reveals the Canada basin acting as a sink for mercury.To conclude, this study shows the deposition patterns of organic matter and highlights the interactions of multiple external factors in understanding the fate of previously frozen carbon and contaminants in the Beaufort Sea.
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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 | 0.005 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".