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Record W1991431973 · doi:10.1029/2007gl030903

Energy exchange rate for the equatorial electrojet: Test of the model of two‐stream processes that includes thermal corrections

2007· article· en· W1991431973 on OpenAlexaff
L. M. Kagan, R. S. Kissack

Bibliographic record

VenueGeophysical Research Letters · 2007
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsWestern University
Fundersnot available
KeywordsEnergy exchangeElectrojetThermalEnvironmental scienceGeophysicsAtmospheric sciencesEnergy (signal processing)GeologyMeteorologyPhysics

Abstract

fetched live from OpenAlex

The experiment of Balsley and Farley (1971) in Jicamarca, Peru has been the only multi(3)‐frequency investigation of the equatorial electrojet. The radar was operated sequentially at frequencies of 16.25, 49.92 and 146.25 MHz and probed the same ionospheric volume. The most prominent feature of these observations was the increase in the phase velocity Vph of Farley‐Buneman (FB) waves with increasing radar frequency while the classical fluid theory gives Vph independent on their wavelength and the simple kinetic theory accounts for only a small increase in Vph. Our recent theory predicts a wavenumber dependence of the FB wave phase velocity. The rate of increase depends on the altitude of the electrojet and seems to match the observed wave behavior. The most important byproduct of this case study is our conclusion that the energy exchange rate in inelastic electron‐neutral interactions is about two‐to‐three times higher that it has been assumed in estimates.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.302
Teacher spread0.272 · 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 designSimulation or modeling
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

Citations7
Published2007
Admission routes1
Has abstractyes

Explore more

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