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Record W2099066387 · doi:10.14796/jwmm.r215-03

Continuous Modeling for Design, Construction and Monitoring: A Case Study

2003· article· en· W2099066387 on OpenAlexaffvenue
Brian Bishop, Ronald B. Scheckenberger

Bibliographic record

VenueJournal of Water Management Modeling · 2003
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsPhilips (Canada)
Fundersnot available
KeywordsComputer scienceEngineeringSystems engineering

Abstract

fetched live from OpenAlex

This chapter explores, by way of a case study, the fundamental connection between theoretical modeling and practical design, construction, and monitoring of an engineered solution to a problem.The modeling associated with this design fom1s Chapter 4 in the sixth volume of this monograph series (Scheckenberger and Guther, 1998).This present chapter is intended both to demonstrate the practical execution of a design created in part though detailed modeling, and to act as a bridge between the pre-design modeling and postdesign modeling that supports a project such as this.A third chapter, after a three-year monitoring period, could return to a more modeling-based theme, outlining how the original models need to be revised with real post-construction data collected in the field.Considerable stakeholder consultation and Agency permits have accompanied the final design stage of this project, which ran approximately eighteen months from assignment to construction start-up.The fact that the proposed works are being constructed on somebody el<;e 's land has increased the complexity of the project.To complicate matters further, the works, which are being constructed on a golf course, have required t\vo concunent contracts: one for the stormwater management and creek works, and another for the requi1•ed golf course redesign.The fmal stage of the process \viU involve compliance monitoring of the solution, in accordance with legislative requirements.The monitming phase will provide data to validate the system perfommnce with computed performance using continuous simulation hydrologic modeling.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0050.003
Open science0.0020.003
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.033
GPT teacher head0.238
Teacher spread0.205 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2003
Admission routes2
Has abstractyes

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