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Record W2157472598 · doi:10.1109/tpwrd.2004.838466

Combined Models for Glaze Ice Accretion and De-Icing of Current-Carrying Electrical Conductors

2005· article· en· W2157472598 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 Transactions on Power Delivery · 2005
Typearticle
Languageen
FieldEngineering
TopicIcing and De-icing Technologies
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsIcingHard rimeStormElectric power transmissionElectrical conductorGlazeMeteorologyCurrent (fluid)ThunderstormEnvironmental scienceGeologyAtmospheric sciencesEngineeringElectrical engineeringPhysicsMaterials science

Abstract

fetched live from OpenAlex

The ice storm of 1998 in northeastern North America caused much damage to the electrical installations of TransE/spl acute/nergie, the transmission provider in Que/spl acute/bec. Consequently, efforts to mitigate the effects of future ice storms have been deployed. A companion paper describes a project to deploy de-icing strategies over a region afflicted by an ice storm. It relies on a core computation that determines the current magnitudes and application times required to melt the ice off of energized conductors. This paper describes and compares the theory behind three de-icing models for transmission lines. The latter two models are new; they expand on a well-known de-icing computation by adding extra information about the ice buildup and the ice/water transition on the outer and inner surfaces of the ice sleeve, respectively.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.557
Threshold uncertainty score0.660

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 head0.023
GPT teacher head0.244
Teacher spread0.221 · 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