Quantifying Carbon Stocks in Coastal Wetland Soils of James and Hudson Bay
Bibliographic record
Abstract
The coastal wetlands of James and Hudson Bay contain important soil organic carbon stocks, yet data are lacking on how these stocks vary spatially. Here, we report on the analysis of soil samples from five transects on the James and Hudson Bay coasts. Samples were categorized by wetland type and analyzed for organic and inorganic carbon. An inland peat core with underlying ancient shoreline sediments was also collected. The average top-21-cm carbon stock across coastal sites (n = 39) was 0.42 g C/cm2. There was no statistically significant difference in carbon stocks between the four coastal wetland types studied. Carbon density stayed relatively constant with depth in the coastal samples and the inland peat core. These results emphasize the importance of measuring carbon density to accurately quantify carbon storage in these mineral soils. Further, coastal wetland sediments buried beneath inland peats represent an unquantified component of these massive carbon stores.
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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 | 0.000 | 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".