MétaCan
Menu
Back to cohort
Record W2474684850 · doi:10.1061/9780784479957.021

Utility Risk Management in Transmission Line Construction

2016· article· en· W2474684850 on OpenAlexaff
G. N. Young, Steve DiBenedetto, V. Hutchison

Bibliographic record

VenuePipelines 2016 · 2016
Typearticle
Languageen
FieldEngineering
TopicUnderground infrastructure and sustainability
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsDowntimeRisk analysis (engineering)TraverseRisk managementComputer sciencePipeline (software)PopulationEngineeringBusinessReliability engineeringFinance

Abstract

fetched live from OpenAlex

The presence in the right of way of existing third party buried utilities often constitutes risk on pipeline projects. These utilities are encountered frequently on projects that traverse population centers where significant buried utility infrastructure is already present. If those utilities are imperfectly known, or unknown, they can adversely impact both design and construction. The discovery of a buried third party utility in an unexpected location in the right of way during construction can lead to downtime, redesign, additional construction costs, and notably, safety issues. Implementation of a utility risk management program using the techniques that will be discussed herein largely eliminates these issues.

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)0.005
metaresearch head score (Gemma)0.012
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: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0040.004
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.006
GPT teacher head0.210
Teacher spread0.204 · 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
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

Citations1
Published2016
Admission routes1
Has abstractyes

Explore more

Same venuePipelines 2016Same topicUnderground infrastructure and sustainabilityFrench-language works237,207