MétaCan
Menu
Back to cohort
Record W1962970103 · doi:10.1109/wescan.1988.27690

Electric and gas utility control via satellite

2003· article· en· W1962970103 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicDistributed and Parallel Computing Systems
Canadian institutionsSaskTel (Canada)
Fundersnot available
KeywordsSatelliteCommunications satelliteElectric power transmissionElectric powerChannel (broadcasting)Transmission (telecommunications)Computer scienceNatural gasElectrical engineeringTelecommunicationsComputer networkReal-time computingRemote sensingEngineeringPower (physics)Aerospace engineeringGeology

Abstract

fetched live from OpenAlex

SaskPower, an electric and natural gas utility, recently enhanced its operational communication network with the addition of seven satellite Earth stations. The satellite network uses single channel per carrier (SCPC) technology over Telesat's Anik C2 satellite, and carriers both voice and data channels. Satellite voice channels form the backbone of SaskPower's operational voice system, which is used to operate the electric system during remote control failure or maintenance. With the exception of large thermal generating stations and large gas compressor stations, the bulk electric system and gas transmission system are controlled remotely from Regina. Approximately 42% of electric sites (21), and 39% of gas sites (24), are now being controlled via satellite data links. The remaining sites are controlled over power line carrier (PLC) or dedicated leased facilities. To date, the system has performed reliably, but the harshest conditions expected have not yet occurred.< <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)0.000
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 score0.983
Threshold uncertainty score0.339

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 science0.0000.000
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 head0.009
GPT teacher head0.209
Teacher spread0.200 · 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