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Record W1904662268 · doi:10.1109/elinsl.1990.109791

A surface resistivity probe for assessing solid insulators in GIS (gas insulated switchgear)

2002· article· en· W1904662268 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.

Bibliographic record

VenueIEEE International Symposium on Electrical Insulation · 2002
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsHydro One (Canada)
Fundersnot available
KeywordsSwitchgearElectrical resistivity and conductivityFault (geology)High voltageConformal mapHumidityMaterials scienceSurface (topology)ElectrodeElectrical engineeringMechanical engineeringVoltageComputer scienceEngineeringPhysicsGeologyMeteorologyGeometry

Abstract

fetched live from OpenAlex

The changes in surface characteristics after a spacer has been exposed to a large amount of SF/sub 6/ decomposition products for a short period of time, which is similar to conditions during fault repair, are described. The design and construction of a prototype surface electrical resistivity probe which can be used to assess the reusability of contaminated solid insulators are also described. This special, conformal surface resistivity probe was designed to carry out the demanding measurements on contoured surfaces. These measurements must be carried out under typical field conditions, and specifics of the critical experimental parameters (voltage, geometry, humidity) must be recognized. The probes have been used successfully to assess the condition of suspect spacers exposed to a high concentration of by-products following a power fault.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.851
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.037
GPT teacher head0.304
Teacher spread0.268 · 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