MétaCan
Menu
Back to cohort
Record W2565670558

Исследование надёжности электроснабжения морской портовой инфраструктуры в Приполярном районе

2015· article· ru· W2565670558 on OpenAlexaboutno aff
Родимов Николай Владимирович, Сероветников Андрей Сергеевич, Сивоконь Владимир Павлович

Bibliographic record

VenueВестник государственного университета морского и речного флота им. адмирала С.О. Макарова · 2015
Typearticle
Languageru
FieldEarth and Planetary Sciences
TopicEarthquake Detection and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsEarth's magnetic fieldHarmonicsGeomagnetically induced currentGeomagnetic stormTransformerElectric power systemElectrical engineeringPhysicsMagnetic fieldVoltageGeophysicsEngineeringPower (physics)
DOInot available

Abstract

fetched live from OpenAlex

In polar and subpolar regions high probability destructive manifestations of geomagnetic induced currents (GIC), which may lead to the collapse of the energy system, as it was in Canada in 1989. Therefore, there is need to monitor and GIC adoption of measures to reduce its impact on the reliability of the operation of power systems. For monitoring GIC authors use variations in voltage harmonics compared with the indices of the magnetic field of the Earth. For example, Petropavlovsk-Kamchatsky seaport, the results of observations, in which registered an increase in the level of voltage harmonics as a result of the magnetic storm. The concomitant factor of manifestation GIC is to saturate network nonlinear consumers and, consequently, the growth of the higher harmonics. In this situation, the most vulnerable to geomagnetic induced currents element is a transformer. In this connection, presents an assessment of reliability of the power transformer, as part of the energy system, tending to saturation nonlinear consumers against the background of the destructive manifestations of geomagnetic induced currents. Considering proposals are able to neutralize the destructive manifestation of geomagnetic induced currents in electrical systems.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0050.005
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0040.009
Science and technology studies0.0040.003
Scholarly communication0.0040.004
Open science0.0060.001
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0490.062

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 head0.045
GPT teacher head0.226
Teacher spread0.181 · 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 designNot applicable
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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueВестник государственного университета морского и речного флота им. адмирала С.О. МакароваSame topicEarthquake Detection and AnalysisFrench-language works237,207