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Record W2118570429 · doi:10.1002/jnm.2030

Mode‐matching analysis and design of substrate integrated waveguide T‐junction diplexer and corner filter

2014· article· en· W2118570429 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Numerical Modelling Electronic Networks Devices and Fields · 2014
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsDiplexerHFSSMicrowaveWaveguideFilter (signal processing)Ku bandSubstrate (aquarium)Electronic engineeringWaveguide filterMatching (statistics)Mode (computer interface)Computer scienceMaterials scienceOptoelectronicsEngineeringFilter designElectrical engineeringTelecommunicationsPrototype filterMathematics

Abstract

fetched live from OpenAlex

Summary The mode‐matching technique is deployed in this paper in order to analyze and design a substrate integrated waveguide (SIW) T‐junction diplexer in Ku‐band. The diplexer has bandwidths of 4.12% and 3.79% at 14.55 and 15.85 GHz, respectively. Also in Ku‐band, an SIW corner filter is analyzed and designed with the same technique. Analytical results are compared with simulated data obtained from commercially available field solvers such as CST Microwave Studio and ANSYS HFSS. Excellent agreement between analytical and simulated data is achieved. Copyright © 2014 John Wiley & Sons, Ltd.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.889
Threshold uncertainty score0.455

Codex and Gemma teacher scores by category

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 science0.0000.000
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 head0.009
GPT teacher head0.213
Teacher spread0.205 · 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