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Record W3000681679 · doi:10.1061/9780784481653.062

Microtunnel Crossing of Alberta’s Busiest Highway

2018· article· en· W3000681679 on OpenAlexaboutno aff
Duane Strayer, Craig Pass

Bibliographic record

VenuePipelines 2018 · 2018
Typearticle
Languageen
FieldEngineering
TopicUnderground infrastructure and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsTrenchless technologyPedestrianTransport engineeringPedestrian crossingBridge (graph theory)CasingEngineeringCivil engineeringComputer sciencePipeline transportMechanical engineering

Abstract

fetched live from OpenAlex

To allow for future development, the city of Calgary (The City) retained associated engineering (AE) to investigate increasing capacity of a sanitary trunk installed in the 1970s. The design solution was to twin an existing 600 mm diameter trunk crossing Deerfoot Trail with a 750 mm diameter pipe. With an annual average daily traffic (AADT) count of 169,000 vehicles per day, the portion of Deerfoot Trail to be crossed required a trenchless method and micro tunnel boring machine (MTBM) was recommended. The trenchless method selection was considered for existing site constraints including: an 8-lane freeway, a pedestrian bridge, a golf course, a regional pathway, and existing utilities. The selected option was 210 m of 1200 mm diameter casing (750 mm diameter carrier) which passed beneath Deerfoot Trail and the golf course. From design through tender and construction, there were deviations from the original design to achieve the project outcome. This paper focuses on these changes, the construction process, and the final successful outcome.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.573

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 head0.221
Teacher spread0.213 · 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 designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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