Integrated Web-Based Flow Monitoring and Hydraulic Modeling in Erie County, New York
Bibliographic record
Abstract
Like many municipal wastewater utilities, the Erie County Department of Environment and Planning/Division of Sewerage Management (DSM), located in Western New York is continually seeking methods to maximize treatment of its sewerage flows, minimize overflows and prioritize collection system maintenance and capital improvements.The DSM initiated development of a web-based tool in 2006 to significantly improve the way these goals are achieved.This web-based system has initially been developed for Erie County Sewer District No. 6, which contains more than 80 mi.(129 km) of sewer and serves approximately 18,000 customers in the City of Lackawanna.The web-based system was developed by a five-firm team: Conestoga-Rovers & Associates, TECsmith, Inc., Telog Systems, Inc., Computational Hydraulics International and eSolutions Group.This innovative web-based tool, known as the Real Time Flow Monitoring System and Hydraulic Model, allows County staff to obtain upto-the-minute status of sanitary sewer flows and operation within the District 6 trunk collection system.In addition, it allows modeling of what if scenarios regarding new flows, capital improvements and modifying operations rules.Ultimately, the DSM anticipates expanding this system during the next three years to incorporate all of the County's sewer districts,
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".