MétaCan
Menu
Back to cohort
Record W2133297163 · doi:10.1109/tim.2003.810715

A new transfer device for the NRC Travelling Standard Program

2003· article· en· W2133297163 on OpenAlexaffabout
R. Arseneau, M. Sutherland, J. Zelle

Bibliographic record

VenueIEEE Transactions on Instrumentation and Measurement · 2003
Typearticle
Languageen
FieldEngineering
TopicAdvanced Electrical Measurement Techniques
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsTraceabilityVoltmeterCalibrationMultimeterElectrical engineeringTransfer (computing)RepeatabilityAmmeterEngineeringVoltageSystem of measurementElectricityCoaxialElectronic engineeringComputer science

Abstract

fetched live from OpenAlex

This paper describes a computer controlled measurement system, which is now used as a transfer device for the National Research Council of Canada (NRC) Travelling Standard Program. The measurement system is based on two sampling voltmeters, custom built voltage and current input circuits, and a computer used for data acquisition and analysis. The new transfer device is used on-site with a stable AC source of voltage and current and a new 12-position pulse-frequency comparator to provide calibration and traceability for the revenue billing electrical quantities of the reference standards maintained by Canadian electrical utilities and electricity meter manufacturers. The accuracy of the measurement system is better than 30 parts in 10/sup 6/ for all the electrical quantities currently requiring traceability for revenue billing purposes. The repeatability of the new transfer device before and after an on-site calibration is generally better than 15 parts in 10/sup 6/.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0030.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0400.014

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 head0.045
GPT teacher head0.275
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

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 designBench or experimental
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

Citations6
Published2003
Admission routes2
Has abstractyes

Explore more

Same venueIEEE Transactions on Instrumentation and MeasurementSame topicAdvanced Electrical Measurement TechniquesFrench-language works237,207