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Record W3128980219 · doi:10.2749/vancouver.2017.3150

Innovative Design and Construction of Special Guideway Structures for Vancouver’s New Evergreen Line SkyTrain Extension

2017· article· en· W3128980219 on OpenAlex
Sean O’Hagan, Monica Galloway Burke, Jianping Jiang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueReport · 2017
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Analysis
Canadian institutionsWSP (Canada)
Fundersnot available
KeywordsPrecast concreteScope (computer science)Transport engineeringEngineeringCivil engineeringLine (geometry)Railway lineLight railRail transitTelecommunicationsArchitectural engineeringComputer sciencePublic transportMathematicsGeometry

Abstract

fetched live from OpenAlex

<p>The new Evergreen Line is an 11 kilometre extension to the existing SkyTrain advanced light rail transit system in Metro Vancouver, British Columbia, Canada. The project scope includes design and construction of six new stations, expansion of one existing station, nine kilometres of elevated and at-grade guideway, and a two-kilometre bored tunnel.</p><p>This paper focuses on innovative design of the elevated guideway “Special Structures” where the standard precast segmental construction was not suitable. The necessity of constructing Special Structures is primarily driven by the complexity of the guideway and station geometry, and constraints imposed by properties, municipal infrastructure, railway tracks, and by connecting to an existing station. Construction challenges included working in constrained linear corridors, through multiple municipal jurisdictions, and over private properties and active railway lines.</p>

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.

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)0.000
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: Methods · Consensus signal: none
Teacher disagreement score0.800
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.025
GPT teacher head0.262
Teacher spread0.237 · 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