A multi-model study of the subsurface and surface hydrodynamics of a 700 km2 watershed in western Canada (Fox Creek area, Alberta)
Bibliographic record
Abstract
Study region A 700 km 2 watershed near the town of Fox Creek (west-central Alberta, Canada), a region that has seen intensive oil and gas production since the 1950s, is investigated. Study focus The overall objective is to improve our understanding of the hydrodynamics of this watershed. The hierarchical multi-model approach uses physically based numerical models and follows a stepwise progression, transitioning from saturated and variably saturated groundwater to integrated surface water–groundwater (SW-GW) models. This progression encompasses 2D and 3D configurations from a deep (∼1 km) hydrogeological multi-layer aquifer system to a shallow (45 m) coupled flow system. This differs from other multi-model studies where the focus is on comparing simple to complex models for a fixed domain. New hydrological insights for the region The hierarchical modeling approach has led to better insights and estimates of processes including vertical recharge and lateral groundwater contributions. Moreover, it allowed us to corroborate hydraulic conductivity values and groundwater recharge despite the limited dataset. The hydraulic connections between the four non-marine bedrock units were shown to be negligible, allowing us to focus on the Paskapoo Formation. The unsaturated zone was shown to play a significant role in the model response, and accounting for land surface–subsurface dynamics was demonstrated to be critical to properly estimating hydraulic head profiles and land surface saturation patterns.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".