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Record W60085154 · doi:10.5006/c2002-02091

Analysis of Corrosion Rates on a Gas Transmission Pipeline

2002· article· en· W60085154 on OpenAlexaff
Robert Worthingham, Louis Fenyvesi, Thomas B. Morrison, Guy Desjardins

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Properties and Applications
Canadian institutionsBP (Canada)TransCanada (Canada)
Fundersnot available
KeywordsCorrosionPipeline (software)Materials scienceGas pipelinePipeline transportEnvironmental scienceMetallurgyPetroleum engineeringEngineeringMechanical engineeringEnvironmental engineering

Abstract

fetched live from OpenAlex

Abstract Beginning in 1991, methods to determine corrosion rates from multiple in-line inspections of pipelines have been developed and successfully implemented on a large transmission pipeline system. In 2000, investigations were performed to understand the characteristics of corrosion rates on a particular 500 km long pipeline that had been inspected three times over an 8 year period. The object of the study was to determine the variability of corrosion rates along the pipeline. With that data, authors applied the distribution of corrosion rates observed on the pipeline with multiple inspections to other similar pipelines that had been inspected only once. The results of the analyses are of great benefit in determining the appropriate re-inspection interval when compared to other methods which use a single assumed corrosion rate.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.029
GPT teacher head0.257
Teacher spread0.228 · 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 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

Citations4
Published2002
Admission routes1
Has abstractyes

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