Regional wetland status and sensitivity to disturbances near Fox Creek, Alberta
Bibliographic record
Abstract
Wetlands cover large areas of Alberta's boreal regions. They play critical roles in flow regulation and flood control, groundwater discharge/recharge, and pollutant filtration. Peat-forming bogs and fens sequester and store large amounts of atmospheric CO2 and harbor a variety of wildlife. The Fox Creek study area is located between the Upper Peace River and Upper Athabasca Watersheds. Within the 6501.3 km2 extended study zone, wetlands cover 1344.2 km2 or 20.7% of the area. Fen is the most abundant wetland class (45.5%), followed by swamp (37.2%), shallow open water (9.1%), bog (7.1%), and marsh (1.1%). Within the 90 km2 local study area near Fox Creek, wetland coverage is relatively low at 4.7 km2 or 5.2%. Swamp is the most abundant wetland class (56.8%), followed by fen (36.4%), shallow open water (4.5%), and bog (2.3%). Natural disturbances such as warming and changing fire regimes, and human disturbances such as forestry and oil and gas activities can greatly affect the water balance, hydrology, and vegetation within a watershed, leading to the loss of critical function and services provided by natural wetlands. Reclamation and restoration of boreal wetlands has come a long way since the early 2000s, although significant knowledge gaps and technical challenges remain.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".