MétaCan
Menu
Back to cohort
Record W1873158791

Probabilistic Reliability Planning at British Columbia Transmission Corporation: Method and Project Case

2008· article· en· W1873158791 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProceedings of the 10th International Conference on Probablistic Methods Applied to Power Systems · 2008
Typearticle
Languageen
FieldEngineering
TopicPower System Reliability and Maintenance
Canadian institutionsTransCanada (Canada)
Fundersnot available
KeywordsProbabilistic logicReliability (semiconductor)Plan (archaeology)Transmission (telecommunications)Computer scienceReliability engineeringBusiness system planningOperations researchService (business)EngineeringGeographyBusinessArtificial intelligenceTelecommunicationsProcess management
DOInot available

Abstract

fetched live from OpenAlex

This paper presents a probabilistic reliability planning method for transmission systems. The core of the method is the quantified reliability evaluation technique, which is based on Monte Carlo simulation for transmission and generation and an analytical multiple-state model for an HVDC system. The planning procedure includes comparison among reinforcement alternatives, effect study of retired components, contingency plan for possible delay of the reinforcement project, and probabilistic economic analysis for the in-service year. An actual reinforcement project for the Vancouver Island supply system at British Columbia Transmission Corporation is used to demonstrate the step by step planning procedure.

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)0.002
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.652
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.046
GPT teacher head0.302
Teacher spread0.256 · 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