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Record W2944849941 · doi:10.1134/s0010952519020072

Response of Ionospheric Total Electron Content to Convective Vortices

2019· article· en· W2944849941 on OpenAlexaboutno aff
V. E. Pronin, Vyacheslav Pilipenko, В. И. Захаров, D. Murr, Valeriy Martines-Bedenko

Bibliographic record

VenueCosmic Research · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsTECIonosphereTotal electron contentConvectionPhysicsEarth's magnetic fieldImpulse (physics)GeophysicsGlobal Positioning SystemSatelliteGeodesyMeteorologyGeologyComputer scienceAstronomyMagnetic fieldClassical mechanicsTelecommunications

Abstract

fetched live from OpenAlex

Abstract The response of the total electron content (TEC) of Earth’s ionosphere to impulse geomagnetic disturbances, traveling convection vortices (TCVs), is considered in the paper. The data of networks of ground-based magnetometers in Canada and Greenland were used to reveal TCVs, whereas the TEC variations were obtained by processing the data of the IGS and UNAVCO receiving stations of the global positioning system (GPS). Ionospheric disturbances related to TCVs are detected. Using the station network makes it possible to estimate the dynamics of formation and velocity of propagation of the disturbance in space.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0020.001

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 head0.031
GPT teacher head0.321
Teacher spread0.290 · 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 designBench or experimental
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

Citations3
Published2019
Admission routes1
Has abstractyes

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