Extra Strength Sewer Surcharges In Ontario: Do They Really Reduce Contaminant Loadings?1 2
Bibliographic record
Abstract
Abstract Different charge schemes have been developed and implemented by environmental management agencies in Canada and the United States to help manage or curtail environmental pollution.6 Municipal sewer authorities throughout North America have applied extra-strength sewer surcharges (ESSSs) for many years through extra-strength sewer surcharge agreements (ESSAs). Where an ESSA has been established with a commercial or industrial sewer user, surcharges are imposed on sewage discharges which exceed contaminant limits that are set in the by-laws of the municipality. Municipalities typically levy charges for water and sewer utility use either through property taxes or direct billing. Water and sewer charges typically include one or more of the following: Despite the fact that water and sewer systems are physically connected and operationally interdependent, they are usually operated by two separate agencies in most medium to large municipalities. This can result in challenges in planning andcoordinationofcapacitiesandintheefficientpricingofservices.7 Nevertheless, municipalities have achieved centralized billing of water and sewer charges.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.027 | 0.002 |
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".