Quantifying the Stormwater Pollutant Reduction Benefits of Traditional Public Works Maintenance Practices
Bibliographic record
Abstract
A management study for the Bell Branch and Tarabusi Creek Subwatershed of the Rouge River in southeastern Michigan was prepared by the Rouge River National Wet Weather Demonstration Project (NWWDP) under the guidance of the Subwatershed Advisory Group (SWAG) (NWWDP, 1997).The management study outlined several goals to help public agencies develop appropriate management practices.One of the goals was to restore impaired beneficial uses of the river by reducing pollutant loadings in stormwater.The SWAG recommended stormwater management activities that reduce or eliminate pollutants at their source such as leaf collection, catchbasin cleaning, and street sweeping which should be routinely conducted.In support of these recommendations, the City of Livonia, Michigan led an effort to evaluate a variety of maintenance and cleaning practices for catchbasins for a portion of a tributary within the subwatershed with financial support of the Rouge River National Wet Weather Demonstration Project.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".