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Record W4406823889 · doi:10.2749/sanjose.2024.0533

Viaduct Solutions for Unstable Slopes in the Kicking Horse Canyon

2024· article· en· W4406823889 on OpenAlexaboutno aff
Bruce Hamersley, William Ka Kei Wu, Tian Wang

Bibliographic record

VenueReport · 2024
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCanyonGeologyComputer scienceMarine engineeringEngineeringGeomorphology

Abstract

fetched live from OpenAlex

This paper presents an innovative viaduct solution using accelerated bridge construction techniques crossing a series of unstable slopes, active landslides, and avalanche and rock fall paths along a treacherous highway section of the Kicking Horse Canyon Phase 4 project in British Columbia, Canada. The utilization of compact precast concrete components significantly minimized on-site labour requirements, improved the constructability, and reduced the construction schedule and cost. Approximately 1.8 km of viaduct structures were designed to span the unstable soils. Significant loads from avalanches and landslides were imposed on the viaducts. The piled foundations were designed to resist the loads as soil failed around the piles during a landslide, rather than fully stabilize the slopes. A unique “drift-link” detail connected the piles to the pier caps to accommodate thermal movement, as well as provide load-sharing between piles for lateral loads.

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: Other · Consensus signal: none
Teacher disagreement score0.997
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.017
GPT teacher head0.239
Teacher spread0.222 · 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
GenreOther

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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