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Record W3160084689 · doi:10.1002/9781119815570.ch9

Geomagnetic Field Impacts on Ground Systems

2021· other· en· W3160084689 on OpenAlexaboutno aff
John G. Kappenman, William A. Radasky

Bibliographic record

VenueGeophysical monograph · 2021
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGeomagnetism and Paleomagnetism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEarth's magnetic fieldGeologyGeophysicsField (mathematics)MeteorologyMagnetic fieldGeographyPhysicsMathematics

Abstract

fetched live from OpenAlex

This chapter covers the impacts of geomagnetic storms on ground systems with emphasis on the high voltage power grid. Some additional information is provided describing effects on undersea cable communications and mitigating corrosion on oil and pipelines. The chapter describes the variations of past geomagnetic storms in both locations and time variations. The chapter describes the process of converting incident magnetic fields to electric fields and finally to geomagnetically induced currents (GICs). The impacts of these currents on the operation of large transformers is discussed and how power grids may respond to these currents. The chapter also describes the impacts to the U.S. and Canadian power grids during the Great Geomagnetic Storm from March 13-14, 1989. There is also discussion about the possibility of future extreme storms and their potential impact on power systems. A bibliography is provided for those who wish to study these mechanisms and impacts on their own.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.044
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0440.005

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 head0.008
GPT teacher head0.229
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

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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2021
Admission routes1
Has abstractyes

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