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Record W648328033

Manitoba Floodway Expansion Project Bridge Replacement

2007· article· en· W648328033 on OpenAlexaboutno aff
N B Ulyatt

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicInfrastructure Maintenance and Monitoring
Canadian institutionsnot available
Fundersnot available
KeywordsFlood mythRetrofittingEngineeringBridge (graph theory)Forensic engineeringEnvironmental scienceCivil engineeringGeographyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The Red River Floodway around the City of Winnipeg was constructed in the 1960s as a result of a major flood event in 1950. The original Floodway is 29 miles long with an average bottom width of 450 feet, flow depth of 30 feet, and design discharge of 60,000 cfs. Six highways and six railway lines cross the Floodway. In 1997, the third largest Red River flood in recorded history passed through Winnipeg with a peak flow of 140,000 cfs. Approximately one half of this flood was diverted through the Floodway. A post-1997 study recommended increasing the Floodway capacity from 60,000 cfs to 140,000 cfs. A pre-design study of all highway and railway bridges was undertaken in 2003/2004 and included load rating and life cycle costing analysis. The study results recommended the replacement of all highway bridges and one railway bridge and the raising, lengthening, and retrofitting of five railway bridges. The final design and construction began in 2005 with Dillon Consulting Limited as the lead consultant in association with EarthTech; ND LEA; UMA, and Wardrop.

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 score0.723
Threshold uncertainty score0.551

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 studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0390.004

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 head0.013
GPT teacher head0.240
Teacher spread0.227 · 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
Published2007
Admission routes1
Has abstractyes

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