Snowmelt hydrology and carbon dynamics in wetland ponds at Polar Bear Pass, Bathurst Island, Nunavut, Canada
Bibliographic record
Abstract
Wetlands are important ecological niches in High Arctic environments, providing \nhabitats for northern fauna and flora. Generally, these wetland complexes are \ncomposed of a series of ponds, wet meadows, and areas of wet and dry ground (Woo \nand Young 2006) and possess linkages to surrounding terrain (e.g. hillslope streams, \nlate-lying snowbeds). These connections have the ability to transfer water and \nnutrients into wetlands, but as yet, little is known about the importance of these \ncontributions or the mechanisms which control them. \nA large number of ponds exist at Polar Bear Pass, Bathurst Island and are connected to \ntheir surrounding watersheds through various linkages and thus receive different \nhydrological and nutrient inputs. Since, ponds are numerous in this wetland and form \nthe dominant land-use of this wetland-complex, the objective of this study was to \nunderstand the snowmelt hydrology, carbon dynamics (DOC, DIC, CO2, CH4) and \ncarbon balance in a series of shallow tundra ponds comprising an extensive wetland \nsystem.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".