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Record W2460353808

地磁感應電流(GIC)的作用與評估

2005· article· zh· W2460353808 on OpenAlexaboutno aff
馬曉冰, Ian J. Ferguson, 孔祥儒, Xiànghóng Wú, 閆永利

Bibliographic record

Venuenot available
Typearticle
Languagezh
FieldEarth and Planetary Sciences
TopicEarthquake Detection and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGeomagnetically induced currentEarth's magnetic fieldGeomagnetic stormGeologyStormDisturbance (geology)ConductorGeophysicsGeodesyMeteorologyPhysicsMagnetic fieldGeomorphologyMathematicsGeometry
DOInot available

Abstract

fetched live from OpenAlex

Geomagnetically induced currents (GIC) may have effects or hazards on various man-made long distance conductors. The electric field produced during a geomagnetic disturbance is dependent on the magnitude and frequency of magnetic field variations and the Earth's surface impedance. The GIC in a conductor system is also related to the infrastructure of the system. In this study, the induced electric fields are separately calculated during a storm with K(subscript p)=9 in July 15, 2000 in the Winnipeg area, southern Manitoba and northern Manitoba. It is assesed that the possible maximum 1-year (and 10-year) GIC values are 78(234) A/phase on the Hydro-Quebec power system according to the statistical analysis of geomagnetic activity.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.877
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1960.041

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 head0.013
GPT teacher head0.205
Teacher spread0.192 · 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; both teacher heads agree on what is shown here.

Study designOther design
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
Published2005
Admission routes1
Has abstractyes

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