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Record W2391228895

Construction of an ionosonde station in Xiamen and preliminary observations

2010· article· en· W2391228895 on OpenAlexaboutno aff
Tao Yu, Yungang Wang, Wang Jing-song, Tian Mao, Shuai Fang-hong

Bibliographic record

VenueProgress in geophysics · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsIonosondeAmplitudeIonosphereMeteorologyBeijingGeodesyEnvironmental scienceRemote sensingPhysicsGeologyGeographyGeophysicsOpticsElectron densityPlasma
DOInot available

Abstract

fetched live from OpenAlex

A new ionosonde station is constructed in Xiamen and preliminary observation are briefly introduced.At this station the Canada Advanced Digitial Ionosonde (CADI) is selected as the main equipment,and a set of folded dipole antennas and a pairs folded dipole are used as transmit and received antennas,respectively.With the internet and a special net system of CMA,the observed data is transfered to the National Center for Spaceweather in Beijing very quickly and the equipment is able to be controlled far away.By using observed data at this station during August,2008,we found that the f_oF2 has a pronounced daily variation,and it usually maximizes at 14~16LT with an amplitude of 5~15MHz and minimizes at 4~6LT with an amplitude of 4 MHz.The IRI2007 seems to be able to reproduce the observed medium f_oF2,but it fails to forecast the daily f_oF2 due to the day to day variability of ionosphere in Xiamen.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
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 head0.006
GPT teacher head0.238
Teacher spread0.231 · 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 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

Citations0
Published2010
Admission routes1
Has abstractyes

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