MétaCan
Menu
Back to cohort
Record W4308913176 · doi:10.1680/jbren.21.00079

The new Samuel De Champlain Bridge, Canada

2022· article· en· W4308913176 on OpenAlexaffabout
Marwan Nader, Guy Mailhot

Bibliographic record

VenueProceedings of the Institution of Civil Engineers - Bridge Engineering · 2022
Typearticle
Languageen
FieldEngineering
TopicConcrete Corrosion and Durability
Canadian institutionsInfrastructure Canada
Fundersnot available
KeywordsBridge (graph theory)ScheduleProcurementEngineeringCivil engineeringGeneral partnershipSuiteForensic engineeringGeographyComputer scienceBusinessArchaeologyFinance

Abstract

fetched live from OpenAlex

Opened to traffic on 1 July 2019, the new Samuel De Champlain Bridge represents one of the largest infrastructure projects in North America. The rapidly deteriorating condition of the original Champlain Bridge in Montréal led the Government of Canada to accelerate its replacement and ultimately awarded a contract to the Signature on the Saint Lawrence Group, in 2015, to deliver a new replacement crossing. The project was fast-tracked, with a schedule of only 48 months from design to bridge opening. Due to its geographical location, this lifeline structure faces unique hazards including extreme cold temperatures, ice abrasion, de-icing salt attacks, wind, vessel collision, scour and seismic, while meeting its design life of 125 years. Sustainability and durability are also important project requirements. The 3.4 km long bridge is comprised of three independent structures: the 529 m long, asymmetric cable-stayed bridge (which features a single 169 m high tower), the 762 m long east approach and the 2044 m long west approach. The owner used a public–private partnership procurement model and the project was delivered using the design–build delivery method. An overview of this Can$2.4 billion mega project is provided in this paper, and the design and build solutions to overcome the suite of technical and schedule challenges are discussed.

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 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.007
GPT teacher head0.177
Teacher spread0.170 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations1
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueProceedings of the Institution of Civil Engineers - Bridge EngineeringSame topicConcrete Corrosion and DurabilityFrench-language works237,207