LID in a Canadian Residential Brownfield Re-Development
Bibliographic record
Abstract
The release rates from the Currie Barracks Phase 1 re-development (brownfield site into a medium density residential site) in Calgary, Alberta are required to match pre-development flows. In order achieve these release rates AMEC developed a Low Impact Design (LID) approach to stormwater management. Some of the key issues that AMEC resolved throughout this process were the impacts of the unique climate dominated by freeze-thaw events during winter months and the impacts of freezing on infiltration facilities. The LID features used on the site use natural materials to improve water quality and attenuate stormwater flows. Engineered approaches to manage the full volumes in large rain events include rooftop rainwater harvesting for irrigation and catch basins with non-clogging weirs to facilitate distributed stormwater flow attenuation. In order to support the development application and demonstrate the performance of the stormwater design, AMEC conducted modeling using MS Excel, SWMHYMO, QHM, and PCSWMM.
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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) | 0.027 | 0.003 |
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; both teacher heads agree on what is shown here.
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".