Potential carbon losses from boreal pond and riparian areas: influence of temperature and drought.
Bibliographic record
Abstract
Wetland-pond systems on the Western Boreal Plain (WBP) in northwestern Canada account for as much as 50% of the landscape and represent the largest carbon pool in Canada. However, this region is also among the most threatened due to increased industrial, agricultural and recreational development. As ponds dry due to enhanced evaporation and hydrological disconnection with upland areas, pond sediments are exposed and riparian areas dry out, leading to increased decomposition and the loss of CO 2 to the atmosphere. This paper demonstrates how respiration/oxidation potentials vary in this region, and are linked to the different organic substrates that are found in areas with variable surficial geology and vegetation cover. We illustrate carbon exchange in relation to vegetation succession and increased oxidation in the surrounding riparian peatlands in drying pond-wetland systems in the sub-humid climates of the boreal plain.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 teacher head, 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".