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Record W2535814589 · doi:10.14796/jwmm.r228-08

Integrated Web-Based Flow Monitoring and Hydraulic Modeling in Erie County, New York

2008· article· en· W2535814589 on OpenAlexaffvenue
Christopher P. Martin, Steven Russell, Christian Amico, Laura M. Wagner, Rob James, Timothy J. Vogelsang

Bibliographic record

VenueJournal of Water Management Modeling · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Stormwater Management Solutions
Canadian institutionsConestoga College
Fundersnot available
KeywordsSewerageDivision (mathematics)Environmental scienceCombined sewerEnvironmental planningEngineeringWater resource managementEnvironmental resource managementEnvironmental engineeringStormwaterEcology

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.045
GPT teacher head0.217
Teacher spread0.172 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2008
Admission routes2
Has abstractyes

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