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Record W3023432182 · doi:10.1061/9780784415245.ch09

Inspection, Assessment, Maintenance, and Repair

2019· book-chapter· en· W3023432182 on OpenAlexaboutno aff

Bibliographic record

VenueAmerican Society of Civil Engineers eBooks · 2019
Typebook-chapter
Languageen
FieldEngineering
TopicInfrastructure Maintenance and Monitoring
Canadian institutionsnot available
Fundersnot available
KeywordsReliability engineeringComputer scienceForensic engineeringEngineering

Abstract

fetched live from OpenAlex

An important focus for owners of overhead wood pole lines is optimizing the service life of existing facilities while ensuring safety and structural reliability and resiliency. Implementation of an effective inspection, maintenance, and repair program is a key element in achieving this. This chapter provides an overview of relevant issues and processes. Variation in pole species, preservative treatment, environmental conditions, structure types, and so on leads pole owners to develop customized, cost-effective strategies for inspecting and maintaining their wood pole assets. The chapter describes the procedures and tools of traditional wood pole inspection. A key element of an inspection program is the criteria used to determine if a weakened pole meets code strength requirements. Unlike most safety code requirements for steel or concrete structures, the United States and Canada allow some deterioration in wood poles before requiring structural rehabilitation or replacement.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.537
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.005
GPT teacher head0.201
Teacher spread0.196 · 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.

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
Published2019
Admission routes1
Has abstractyes

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