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Record W3127604003 · doi:10.2749/vancouver.2017.2623

Upgrading the Yellowhead Highway in Jasper National Park

2017· article· en· W3127604003 on OpenAlexaboutno aff
David Woolford, Darrel Gagnon

Bibliographic record

VenueReport · 2017
Typearticle
Languageen
FieldEngineering
TopicAsphalt Pavement Performance Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsPrecast concreteGirderBridge (graph theory)Prestressed concreteEngineeringCivil engineeringJurisdictionState highwayForensic engineeringTransport engineeringPolitical science

Abstract

fetched live from OpenAlex

The Yellowhead Highway (Highway 16) is a major east-west highway connection in Western Canada. A 77 km segment of the highway is located in Jasper National Park, including nine bridges, falls under the jurisdiction of Parks Canada. These bridges were built in the 1960s using two general forms, precast prestressed I-girders and precast prestressed inverted u-shaped girders (also known as FC girders). Following the identification of ongoing deterioration, a multi-year program was developed to upgrade the corridor for CL-800 loading. Two bridges were identified for strengthening and general rehabilitation, six bridges for partial (superstructure) replacement and the final bridge for full replacement. Designs were intended to enhance the expected service life of the structures, utilizing as much of the original structures as possible. Diligent planning was required to minimize the overall project environmental impact.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.653
Threshold uncertainty score0.691

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.038
GPT teacher head0.308
Teacher spread0.270 · 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
Published2017
Admission routes1
Has abstractyes

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