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Record W2009192981 · doi:10.1109/smicnd.2007.4519702

Efficient Hybrid Mode Analysis of Shielding Effect in Asymmetric Coplanar Structure for Microwave Applications

2007· article· en· W2009192981 on OpenAlexaff
A. Khodja, H. Baudrand, R. Touhami, M.C.E. Yagoub

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsElectromagnetic shieldingMicrowaveFormalism (music)HomogeneousBoundary value problemMode (computer interface)Integral equationWaveguideComputer scienceComputational physicsMathematical analysisPhysicsElectronic engineeringOpticsMathematicsEngineeringStatistical physicsTelecommunicationsQuantum mechanics

Abstract

fetched live from OpenAlex

An efficient integral numerical method based on the hybrid mode formulation in conjunction with an adequate choice of trial functions is presented for describe the influence of shielding effect in unilateral asymmetric coplanar waveguide with respect to the dispersion parameters. This asymmetric microwave structure can support two different modes of propagation defined by C-mode and π-mode. The formalism of mathematical operators is used to simplify the resolution of the boundary problems leading to a homogeneous equations system. The resolution of this system permits to deduce propagation characteristics. The obtained results have been validated with a good precision compared with those in scientific literature.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.005
GPT teacher head0.231
Teacher spread0.226 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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