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Record W3188111539 · doi:10.1061/9780784483626.028

Inglewood Sanitary Trunk—A Case Study in Using Today’s State of the Art Technologies to Provide Sewage Conveyance Capacity to Meet Tomorrow’s Needs

2021· article· en· W3188111539 on OpenAlexaboutno aff
Patrick Ilasewich, Marvin J. McDonald, Chris Macey, Melanie Gray

Bibliographic record

VenuePipelines 2021 · 2021
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsnot available
Fundersnot available
KeywordsEngineeringUpgradeCivil engineeringPopulationEnvironmental scienceComputer science

Abstract

fetched live from OpenAlex

The Inglewood Sanitary Trunk (IST) is a large diameter sanitary trunk located in Calgary, Alberta. Construction of Phase 1 was completed in November 2020 and consisted of approximately 3,500 m (2.2 mi) of 2,286/2,500 mm (90/98 in.) reinforced concrete pipe installed by microtunneling and approximately 270 m (0.17 mi) of 3,000 mm (120 in.) × 1,500 mm (60 in.) reinforced concrete box section installed by traditional cut and cover construction. Live connections were completed to 1,800 mm (71 in.) diameter pipe, a 2,100 mm (83 in.) × 1,500 mm (60 in.) concrete box section and the Bonnybrook Wastewater Treatment Plant (BBWWTP) headworks. Design of Phase 2 is currently nearing completion and consists of a twin 400 m–1,500 mm (60 in.) inverted siphon crossing of the Bow River. Construction is projected to be completed by 2024. When fully constructed, this upgrade will provide much needed additional sanitary capacity for a total equivalent population of 1.1 million residents and support growth to the 2,076 design horizon. This paper discusses the hydraulic concepts of the IST solution, design and selection of construction concepts, and a summary of the construction itself, including risk mitigation and project challenges overcome in the successful delivery of this project.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score0.404

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.232
Teacher spread0.213 · 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 designCase report
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
Published2021
Admission routes1
Has abstractyes

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