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Record W2063141546 · doi:10.1115/ipc2002-27251

Management System Audits: A Path Towards Safer Pipelines

2002· article· en· W2063141546 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venue4th International Pipeline Conference, Parts A and B · 2002
Typearticle
Languageen
FieldComputer Science
TopicDiverse Research and Applications
Canadian institutionsCanada Energy Regulator
Fundersnot available
KeywordsAuditPipeline transportPipeline (software)SAFERIntegrity managementRisk analysis (engineering)BusinessComputer scienceAccountingEngineeringComputer security

Abstract

fetched live from OpenAlex

The National Energy Board of Canada (NEB), a federal energy regulator, has implemented a management system audit program as a tool to verify compliance with its predominantly goal-oriented Onshore Pipeline Regulations, 1999 (OPR) [1]. The OPR allow individual companies to choose the most effective way to manage their pipeline systems. The audit program is based on expected elements that the NEB believes are necessary to meet the goals of the OPR. This paper will explain why these audits and expected elements are necessary and describe how goal-oriented regulations will enhance pipeline safety. The audits conducted to date have identified several challenges that the NEB and pipeline companies face in pursuit of the goal of safe pipelines; these will be described and possible solutions will be proposed. The overall objective of the paper is to explain the benefits of using a management system approach to direct a company’s pipeline integrity management program and what is required of companies to meet the expectations of the NEB.

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.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.970
Threshold uncertainty score0.560

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 science0.0010.000
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 head0.042
GPT teacher head0.272
Teacher spread0.230 · 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