Al-Pac Catchment Experiment (ACE)
Bibliographic record
Abstract
The Al-Pac Catchment Experiment (ACE) was initiated in 2005 to examine the influence of aspen harvest and linear disturbances on water and energy movement in Boreal Plain (BP) ecosystems. A paired, pre- and post- harvest experiment in aspen-dominated stands was conducted on two meso-scale (10–20 km2) stream catchments with a range of surficial geology and low relief. Comparing flow two years pre-harvest and three years post-harvest indicated no observable differences in low and high flow discharge or geochemistry concentrations between reference and harvested catchment outflows. Reduced evapotranspiration in harvested relative to references catchments was short lived. Soil and groundwater storage buffered the impacts of harvesting on catchment stream flow and large time lags of up to four years were observed in initial response. Due to the low relief, deep and variable surficial geology and storage potential interacting with seasonal and decadal wet and dry patterns, measures of changes in (and indices of) soil moisture or groundwater recharge and storage are more meaningful than stream flow in assessing hydrologic recovery following harvesting. This study has been incorporated into hydrogeological framework to develop effective planning tools that can be used to maximize harvesting and hauling efficiencies.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".