Retrofitting a stormwater management facility with a wetland component
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The City of Toronto has built a stormwater management system, the Etobicoke Stormwater Management Facility (ESWMF), along the Lake Ontario shoreline. The Facility represents an innovative stormwater management solution that integrates two previously separate water quality improvement technologies ‐stormwater wetlands and flow balancing systems. The facility, besides improving water quality, will provide aesthetic, recreational and educational benefits. A conceptual plan to retrofit a wetland component within the ESWMF using three wetland design options is presented. The application of this ecotechnology at other stormwater discharges along the Toronto waterfront is discussed. The paper concludes with a review of the policy implications. Key words: ecological stormwater treatmentretrofitflow balancing systemstormwater wetlandduckweedvegetated rafts Notes Corresponding author; e‐mail: manjit@kw.igs.net
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 | 0.000 |
| 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 it