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Record W2111094389 · doi:10.1109/tmtt.2003.809189

A time-domain virtual electromagnetics laboratory for microwave engineering education

2003· article· en· W2111094389 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

VenueIEEE Transactions on Microwave Theory and Techniques · 2003
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsElectromagneticsComputational electromagneticsComputer scienceField (mathematics)AnimationElectromagnetic fieldSubject matterMicrowave engineeringDomain (mathematical analysis)Computer animationSoftwareMicrowaveComputational scienceElectronic engineeringEngineeringComputer graphics (images)PhysicsMathematicsTelecommunications

Abstract

fetched live from OpenAlex

Electrical-engineering students look upon electromagnetic-field theory as a difficult, abstract, and highly mathematical subject. The use of computer modeling and simulation is helpful in making the subject matter more accessible to students in electromagnetics and microwaves courses. In this paper, a complimentary two-dimensional time-domain field simulation software tool (MEFiSTo-2D Classic) is used to illustrate fundamental electromagnetic concepts that are traditionally described by mathematical formulas. The user-friendly interactive features and field animation capabilities of this software transform abstract electromagnetic-field theory into realistic images on the screen. Once the fundamental modeling concepts have been comprehended, students can create advanced structures to explore the subject matter further.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.688
Threshold uncertainty score1.000

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 head0.004
GPT teacher head0.231
Teacher spread0.227 · 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