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Record W1678200346 · doi:10.1109/mwsym.1989.38812

Computer aided design of square spiral transformers and inductors (MIC application)

2003· article· en· W1678200346 on OpenAlexaff
E. Frlan, S. Meszaros, M. Cuhaci, J.S. Wight

Bibliographic record

VenueIEEE MTT-S International Microwave Symposium digest · 2003
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsCarleton UniversityCommunications Research Centre Canada
Fundersnot available
KeywordsTransformerInductorEquivalent circuitMicrowaveCADPlanarComputer scienceElectronic engineeringComputer Aided DesignSpiral (railway)Electronic circuitTopology (electrical circuits)Electrical engineeringEngineeringEngineering drawingMechanical engineeringVoltageTelecommunications

Abstract

fetched live from OpenAlex

A simple, yet accurate, lumped-element model for four-port planar rectangular spiral structures has been developed. Closed-form expressions were used to generate frequency-dependent parameter values, resulting in an equivalent circuit which is easily incorporated into existing analysis packages. The method can easily be implemented in a commercial microwave computer-aided design program, allowing its use in the optimization of various types of active circuits. The technique was applied to standard and center-tapped transformer configurations, as well as to spiral inductors to 20 GHz. Comparison with measured results shows good agreement up to the first resonant frequency of the structures.>

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)0.001
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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.002

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 head0.010
GPT teacher head0.204
Teacher spread0.195 · 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

Citations40
Published2003
Admission routes1
Has abstractyes

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