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Record W2136031492 · doi:10.1109/tia.2002.805564

The global progress toward one standard, one product, one mark for explosion-protected apparatus-the IECEx scheme

2002· article· en· W2136031492 on OpenAlexaboutno aff
U. Klausmeyer, Paul T. Kelly, K. McManama, M.A. Slowinske, Wei Shao, Peggy B. Smith, M. Brenon, G.H. Borges, A.E. Pogorelsky

Bibliographic record

VenueIEEE Transactions on Industry Applications · 2002
Typearticle
Languageen
FieldDecision Sciences
TopicRisk and Safety Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsScheme (mathematics)CertificationHazardous wasteProduct (mathematics)EngineeringProduct certificationPerspective (graphical)PetroleumPetroleum explorationComputer scienceOperations researchComputer securityPolitical scienceWaste managementLawGeology

Abstract

fetched live from OpenAlex

This paper is an update to the 1999 IEEE Petroleum and Chemical Industry Committee paper titled "The Impact of the IECEx Scheme on the Global Availability of Explosion-Protected Apparatus" and further addresses the advantages and possible concerns regarding the IECEx Scheme from the perspective of six international hazardous locations (HazLoc) testing and certification organizations from Brazil, Canada, France, Germany, Ukraine, and the US.

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)0.015
metaresearch head score (Gemma)0.022
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 score0.015
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.022
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0010.003
Scholarly communication0.0040.009
Open science0.0020.004
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0060.003

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 head0.144
GPT teacher head0.359
Teacher spread0.216 · 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

Citations3
Published2002
Admission routes1
Has abstractyes

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