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Record W2045507465 · doi:10.1029/2003gl018457

IMF By effects in the magnetospheric convection on closed magnetic field lines

2003· article· en· W2045507465 on OpenAlexaff
Alexander Kozlovsky, T. Turunen, A. V. Koustov, G. K. Parks

Bibliographic record

VenueGeophysical Research Letters · 2003
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMagnetosphereGeophysicsField lineIonospherePhysicsConvectionDynamoPolarInterplanetary magnetic fieldSolar windMagnetic fieldGeologyMechanicsAstronomy

Abstract

fetched live from OpenAlex

Using data from the Super Dual Auroral Radar Network (SuperDARN) and the ultraviolet imager on the Polar satellite, we have earlier shown that the IMF By‐related electric field can penetrate into the closed magnetosphere and produce convection changes in the region of the postnoon auroral oval [ Kozlovsky et al ., JGR, N12, 2002 ]. In such a case, contra‐directed azimuthal (East–West) plasma flows should be expected in the conjugated hemispheres. In this paper we present a theoretical model, which can well explain these observations. Due to the solar wind‐magnetosphere dynamo, IMF By generates a voltage between the two polar caps, so that field‐aligned currents flow between the two hemispheres within some layer just equatorward of the open polar cap boundary. In this region a field‐aligned potential difference (i.e., a magnetic field line discontinuity) can occur when the field‐aligned current exceeds a threshold value. The IMF By‐related contra‐directed ionospheric plasma flows can co‐exist in the northern and southern hemispheres within the region of the inter‐hemispheric field‐aligned currents. The latitudinal width of this region depends on the IMF By and the ionospheric conductance, and can be of the order of 1–2 degrees.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score0.616

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.269
Teacher spread0.260 · 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 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

Citations28
Published2003
Admission routes1
Has abstractyes

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