MétaCan
Menu
Back to cohort

Study on the Influence of Different Locations of Land and Sea on Geomagnetic Induced Current Based on Finite Element Method

2019· article· en· W3004077212 on OpenAlexaboutno aff
Tao Ruixiang, Haofan Lin, Bing Yu, Jiajun Lin, Zhao Lin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMagnetic Bearings and Levitation Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGeomagnetically induced currentEarth's magnetic fieldGeomagnetic stormCurrent (fluid)StormGeologyMeteorologyEnvironmental scienceClimatologyOceanographyGeographyMagnetic fieldPhysics

Abstract

fetched live from OpenAlex

It is of great significance to study the factors affecting the geomagnetically induced current (GIC) for evaluating the influence of geomagnetic storms on the stable operation of power system. The magnitude of the GIC is related to many factors, among which the location of land and sea is very important. In order to study the influence of different locations of land and sea on GIC, nine different locations of land and sea are established on the basis of Quebec layered earth model. The distribution of GIC in different locations of land and sea is calculated based on Finite Element Method. Besides, the potential difference between two points at the same location is compared, the effect of different locations of land and sea locations on GIC is obtained. This can provide theoretical support for explaining the impact of different locations of land and sea on GIC, and also provides reference for evaluating the impact of geomagnetic storms on grid operation.

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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.524
Threshold uncertainty score0.247

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 head0.019
GPT teacher head0.267
Teacher spread0.248 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same topicMagnetic Bearings and Levitation DynamicsFrench-language works237,207