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Record W2158093215 · doi:10.1002/mop.22704

Fast simulation of periodic guided‐wave structures based on commercial software

2007· article· en· W2158093215 on OpenAlexaff
Feng Xu, Andreas Patrovsky, Ke Wu

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2007
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsMicrowaveResonatorSoftwareElectromagnetic fieldPeriodic waveField (mathematics)PhysicsPropagation constantComputational physicsComputer scienceAcousticsElectronic engineeringEngineeringMathematical analysisElectrical engineeringMathematicsQuantum mechanicsPure mathematicsTraveling waveProgramming language

Abstract

fetched live from OpenAlex

Abstract The new forms of periodic electromagnetic field variables, which can be resolved from the Maxwell's equations, are shown. As a result, periodic guided‐wave problems can be converted into equivalent resonator problems and the eigen‐frequency algorithms of resonators can be used to extract the complex propagation constants of periodic structures. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 2180–2182, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22704

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)0.002
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: Methods · Consensus signal: Methods
Teacher disagreement score0.018
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.002

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 head0.011
GPT teacher head0.224
Teacher spread0.213 · 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
GenreMethods

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

Citations12
Published2007
Admission routes1
Has abstractyes

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