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Record W1981613926 · doi:10.1029/2000gl003811

Fast tailward stream observed in the distant tail associated with substorm: A multi‐instrument study

2000· article· en· W1981613926 on OpenAlexfundno aff
S. Rouquette, C. Jacquey, O. Le Contel, A. T. Y. Lui, D. J. Williams, R. W. McEntire, T. Mukai, V. Angelopoulos, F. S. Mozer, T. Nagai, S. P. Christon, K. Tsuruda, G. D. Reeves

Bibliographic record

VenueGeophysical Research Letters · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsnot available
FundersCanadian Space Agency
KeywordsSubstormPlasma sheetPhysicsPlasmaGeophysicsElectric fieldEvent (particle physics)AstrophysicsMagnetosphereNuclear physics

Abstract

fetched live from OpenAlex

We report a fast tailward flow event on July 19, 1994, observed in the deep tail by the GEOTAIL spacecraft then located at 133 RE from the Earth. This event was associated with an isolated substorm and GEOTAIL continuously remained inside the plasma sheet during the 2.5 hours period following the substorm onset. Thus, this event provides the opportunity to analyze the substorm dynamics in deep‐tail plasma sheet. Using magnetic field (MGF), electric field (EFD), plasma (LEP) and energetic particle (EPIC) data, we show that the fast tailward flow associated with the substorm expansion exhibited clear features: (i) the flow was quasi‐stationary during its 2.5 hours long duration; (ii) its structure across the plasma sheet thickness showed two layers associated with two clearly distinct flow regimes. In the central plasma sheet, the plasma speed was roughly constant and uniform. Its value was close to the lobe Alfven velocity. The separation between the two layers precisely took place where the plasma parameter beta was close to one.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.033
GPT teacher head0.279
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations4
Published2000
Admission routes1
Has abstractyes

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