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Record W4402059198 · doi:10.1061/9780784485569.021

Twinned 450 mm Waterline Provides Future Water Needs for YVR Groundside Developments and the Iona Island Wastewater Treatment Plant

2024· article· en· W4402059198 on OpenAlexaboutno aff
Kelly Yang, Keith Moggach

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWaterlineWastewaterEnvironmental scienceSewage treatmentEnvironmental engineeringHydrology (agriculture)EngineeringMarine engineeringGeotechnical engineering

Abstract

fetched live from OpenAlex

The Vancouver International Airport (YVR) is undergoing a project to realign the westernmost 2.2 km section of Ferguson Road on the Sea Island. This involves extending the existing Ferguson Road at McDonald Road to provide an improved corridor with wider travel lanes, paved bike shoulders, and a new multi-use pathway to accommodate all road users, the installation of two 450 mm Polyvinyl Chloride (PVC), fully restrained watermains and associated appurtenances, and drainage, electrical, and communication infrastructure to service future developments along Ferguson Road and the adjacent wastewater treatment plant on Iona Island. The Project addressed several design and construction considerations and constraints that ultimately impacted the final geometry, configuration, and material selection of the proposed watermain infrastructure. This paper summarizes how the noted considerations and constraints influenced the final design of the twin watermains, how the watermain material and restraint system was selected, and the Project construction progress.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.207

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0220.004

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 head0.006
GPT teacher head0.186
Teacher spread0.180 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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