MétaCan
Menu
Back to cohort
Record W2142684558 · doi:10.1109/psce.2006.296326

New Tools for Blackout Prevention

2006· article· en· W2142684558 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
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsPowertech Labs (Canada)
Fundersnot available
KeywordsBlackoutComputer scienceReliability (semiconductor)Reliability engineeringRisk analysis (engineering)Computer securityPopularityElectric power systemSoftwarePower (physics)EngineeringBusiness

Abstract

fetched live from OpenAlex

Recent power system blackouts have heightened the concern for power system security and, therefore, reliability. However, potential security improvements which could be achieved through transmission system facility reinforcement and generation supply expansion are long-term, costly, and uncertain. As a result, more immediate and cost effective solutions to the security issue have been pursued including the development of specialized software tools which can assess power system security in near-real-time and assist operators in maintaining adequate security margins at all times thus lowering the risk of blackouts. Such software tools have been implemented in numerous power systems world-wide and are gaining popularity as a result of demonstrated benefits to system performance

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.943
Threshold uncertainty score0.370

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 head0.015
GPT teacher head0.227
Teacher spread0.212 · 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

Quick stats

Citations8
Published2006
Admission routes1
Has abstractyes

Explore more

Same topicPower System Optimization and StabilityFrench-language works237,207