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Record W560766366

Design and Construction of Looking Back Creek Bridge

2013· article· en· W560766366 on OpenAlexaboutno aff
Michael Lau, Farooq Khan Khalil, B Beyak

Bibliographic record

Venue2013 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: BETTER - FASTER - SAFER · 2013
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsBridge (graph theory)TruckHydroelectricityCivil engineeringEngineeringSpan (engineering)Transport engineeringCulvertTrack (disk drive)
DOInot available

Abstract

fetched live from OpenAlex

Manitoba Hydro is proposing to develop the Keeyask Generation Project, a 695-megawatt hydroelectric generating station in northern Manitoba. One of the key components of the Keeyask infrastructure project is the design and construction of approximately 25 km of two-lane access all-weather road from the junction of Provincial Route 280 to the proposed Keeyask Generating Station. The construction of the access road will require a clear span bridge crossing at Looking Back Creek. A clear span is preferred at this bridge site to minimize potential environmental impacts and to avoid damaging fish habitat. This bridge is required to carry extremely heavy vehicular loads, equating to about twice the Manitoba Infrastructure and Transportation Provincial Trunk Highway standard design truck weight. The bridge was also required to be designed to accommodate loads from a CAT 740 articulated truck used in hauling rock and aggregate. There are many challenges to the design and construction of this bridge at this remote northern Manitoba site including: design to accommodate heavy vehicular loads, shipping and erecting girders, permafrost protection, and protection of a sensitive environmental site. The construction of the bridge started in March 2012 and was completed and opened to traffic in January 2013. For the covering abstract of this conference see ITRD record number 201310RT334E.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.008
GPT teacher head0.166
Teacher spread0.158 · 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 designObservational
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

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

Same venue2013 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: BETTER - FASTER - SAFERSame topicOffshore Engineering and TechnologiesFrench-language works237,207