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Record W2006563298 · doi:10.1049/cp.2009.1117

Calculations in 3D of the magnetic fields generated by distribution networks

2009· article· en· W2006563298 on OpenAlexaff
Michel Bourdages, S. Gravel

Bibliographic record

VenueIET Conference Publications · 2009
Typearticle
Languageen
FieldComputer Science
TopicTransportation Systems and Safety
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsOverhead (engineering)Magnetic fieldElectrical conductorElectric power transmissionComputer scienceElectrical engineeringVault (architecture)Carry (investment)Field (mathematics)PhysicsTelecommunicationsEngineeringStructural engineeringMathematics

Abstract

fetched live from OpenAlex

Utility workers carry out live working on overhead and underground distribution networks on a regular basis. These networks carry high currents and can generate relatively high magnetic fields. In order to assess the exposure of utility workers to these magnetic fields we have performed 2D and 3D calculations of the magnetic field surrounding complex overhead structures and inside cable vaults. For currents up to 400 A in the conductors of overhead structures, the volumes where the magnetic field exceeds 420 μT are small and do not extend very far from the conductors. This is also the case for the magnetic field generated by the cables inside an underground cable vault. The only exception to this finding is the rising pole structure. (4 pages)

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.015
GPT teacher head0.229
Teacher spread0.214 · 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 designSimulation or modeling
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

Citations0
Published2009
Admission routes1
Has abstractyes

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