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Record W2330374193 · doi:10.2749/222137815818357377

Preliminary Design of the New Bridge for the St Lawrence River

2015· article· en· W2330374193 on OpenAlexaffabout
Matthew Carter, Lana Potapova, Doug Balmer, Poul Ove Jensen, Kasper Svanberg

Bibliographic record

VenueReport · 2015
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsArup Group (Canada)
Fundersnot available
KeywordsBridge (graph theory)ShorePierCivil engineeringSpan (engineering)EngineeringGirderGeneral partnershipLiberian dollarArchitectural engineeringConstruction engineeringTransport engineeringGeologyBusiness

Abstract

fetched live from OpenAlex

The New Bridge for the St. Lawrence Corridor Project is a 3 billion dollar urban highway project which is being procured through public private partnership. The centrepiece of the project is a 3km crossing of the St Lawrence River which forms a vital link between the city of Montreal and the Brossard shore. The design includes a cable-stayed main span over the St Lawrence Seaway with elevated approaches on either si de. The approach bridge substructure is a unique "W-pier" supporting three separate box girders. The design has been developed through a number of stages to arrive at a solution which is architecturally elegant as weil as being durable and buildable. This paper will describe the preliminary design of the bridge, explaining the evolution of the design in different stages and demonstrating how technical requirements and architectural vision were combined in the design.

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 score0.975
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.046
GPT teacher head0.254
Teacher spread0.207 · 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
Published2015
Admission routes2
Has abstractyes

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