The organic carbon flux to Arctic margin sediments: redox tracers stable isotopes and biomarkers as proxies for change
Bibliographic record
Abstract
To date, sediment cores have been successfully collected, while aboard the CCGS Sir Wilfrid Laurier in July 2007, and the CCGS Louis S. St. Laurent in July, 2009. The suite of cores spans the continental shelf and slope at depths varying from 60 to 2000 m from the Bering and Chukchi Seas, to Barrow Canyon, to the Mackenzie Shelf, Davis Strait, Baffin Bay and Canadian Archipelago. The analysis of the samples is now completed and we are now working on the interpretation of results. There is a lot that can be learned from the sediment cores. So far, the results show strong differences in the sediments and organic carbon between different regions of the Arctic. Areas that are very productive with algae and the marine food web, like the North Water Polynya in northern Baffin Bay, have very different organic carbon cycles from areas near river mouths that are strongly influenced by the land. We plan to characterize each region in detail and also compare the regions to produce an overall picture of the organic carbon cycle in the Canadian Arctic continental margin. We will also identify if the organic carbon cycle has been affected by the climate-related changes already underway.of climate change.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".