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Record W1978209789 · doi:10.1049/cp:20060260

Analysis of GPS-TEC at polar conjugate stations during 2003 equinoxes

2006· article· en· W1978209789 on OpenAlexaboutno aff
Zainul Rashid, S. Sulaiman, Masooma Ali, B. Yatim

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsTECGlobal Positioning SystemEnvironmental sciencePolarGeodesyComputer scienceMeteorologyGeographyGeologyTelecommunicationsIonospherePhysicsGeophysicsAstronomy

Abstract

fetched live from OpenAlex

The solar energy affects on the ionosphere is of a major concern and is being investigated worldwide. As the ionosphere is an ever changing-medium it is difficult to precisely determine the TEC, which is also subjected to seasonal variations. Conjugate stations allow excellent opportunities to learn any asymmetric properties and its phenomena. With these respects, this paper examine the GPS derived TEC variations during the vernal and autumnal equinoxes period for the year 2003 at the polar conjugate stations. A month of GPS TEC data (two weeks before and after the equinox onset) at Scott Base station, Antarctica (SBA) and the Canadian Resolute Cornwallis Island station (RESO), Artic are analyzed. Results show that mean TEC during vernal equinox (VE) is higher at SBA than at RESO by about 12.5% and during autumnal equinox (AE) it is higher at RESO than SBA by about 12.6% with both conjugate stations having approximately similar total mean TEC during the equinoxes (VE+AE) of about 21 TECU. This preliminary investigation shows the potential of seasonal effects at high latitudes conjugate stations towards a better characterization of the ionospheric TEC.

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 score0.041
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.004
GPT teacher head0.208
Teacher spread0.204 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

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