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Record W2330551045 · doi:10.1061/9780784413692.048

Mill Wood's Double Barrel Replacement Tunnels

2014· article· en· W2330551045 on OpenAlexaffabout
Mohammed Al-Bataineh, Shavindranath Fernando, S. M. Samindi M. K. Samarakoon

Bibliographic record

VenuePipelines 2014 · 2014
Typearticle
Languageen
FieldEngineering
TopicTunneling and Rock Mechanics
Canadian institutionsVanguard College
Fundersnot available
KeywordsMillBarrel (horology)EngineeringMandateProcess (computing)Project teamConstruction engineeringService (business)Civil engineeringComputer scienceMechanical engineeringSystems engineeringBusiness

Abstract

fetched live from OpenAlex

Construction of the Mill Woods Double Barrel commenced in 2009 and is expected to be completed by 2015. The total cost is expected to be $56 million. This project encountered several design, political, and geotechnical challenges, each of which demanded a quick but precise response from the project team. The design factor corresponds to the project team's mandate to evaluate the best way of excavating the tunnels by utilizing the existing equipment available to the City of Edmonton. The political factor emerged during the project team's decision-making process of determining which section of the project should be constructed first and put in service. The geotechnical factor led to the team needing to revise the tunnel alignment and change the tunnel-boring machine to accommodate the change to the tunnel. This paper will describe each of these factors and the required changes in detail and detail the procedure that the project team followed to arrive at its decisions.

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)0.002
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 score0.021
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0210.002

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 head0.009
GPT teacher head0.207
Teacher spread0.198 · 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
Published2014
Admission routes2
Has abstractyes

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