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Record W3128435854 · doi:10.2749/vancouver.2017.000496

Rehabilitation and Superstructure Replacement of the Miles Canyon Timber Suspension Bridge

2017· article· en· W3128435854 on OpenAlexaffabout
R Ellis, Ren-Yuan Cheng, Tyler Heal

Bibliographic record

VenueReport · 2017
Typearticle
Languageen
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsBridge (graph theory)CanyonSuspension (topology)TourismRehabilitationTowerLeaseForensic engineeringWork (physics)EngineeringArchaeologyCivil engineeringGeographyBusinessCartographyFinance

Abstract

fetched live from OpenAlex

The Miles Canyon suspension bridge is a 40 m long historic wooden suspension pedestrian bridge across the Yukon River near Whitehorse, Yukon, Canada. The bridge is owned and maintained by the Government of Yukon (GY). The bridge forms an important link in the local trail system and is important for tourism access to some of the historic sites of the Klondike Gold Rush. Non-destructive testing in winter 2015 revealed advanced decay in many members, necessitating full superstructure replacement. A temporary rehabilitation was performed to allow the bridge to temporarily reopen for the summer 2016 tourist season, with a full superstructure replacement in fall 2016. Replacement timber members were carefully selected, detailed, and prefabricated, giving the rehabilitated structure an extended lease on life with proper upkeep and maintenance. Construction of both phases of the work were completed on time and on budget.

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 score0.014
Threshold uncertainty score0.027

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 communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.012
GPT teacher head0.224
Teacher spread0.212 · 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 routes2
Has abstractyes

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