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Record W2592773874 · doi:10.1109/antem.2004.7860688

Phase shifter using defected ground structures with MEMS actuated cavity backing

2004· article· en· W2592773874 on OpenAlexaff
Leili Shafai, Cyrus Shafai, L. Shafai, J.S. Wight, A. Petosa

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsCommunications Research Centre CanadaCarleton UniversityUniversity of Manitoba
Fundersnot available
KeywordsMicroelectromechanical systemsPhase shift moduleGround planeMaterials scienceDeflection (physics)MembranePhase (matter)OptoelectronicsOpticsElectrical engineeringEngineeringPhysicsInsertion lossChemistry

Abstract

fetched live from OpenAlex

A MEMS-based control structure consisting of a flexible membrane to actuate ground plane defects is presented. Initial tests were performed with a manually constructed cavity structure placed behind the slot. The cavity depth is increased in discrete intervals and the phase difference determined. Promising results from this experiment led to the application of the membrane itself beneath the ground plane defect. The membrane-backed design allows a continuous generation of phase shift through the variation of the cavity depth. An electrode below the membrane causes a deflection due to an applied electrostatic force, allowing a cavity to form between the membrane and the defect in the ground plane. These cavity-backed designs add negligible loss to the system.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

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 science0.0010.001
Research integrity0.0010.000
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 head0.018
GPT teacher head0.260
Teacher spread0.241 · 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 designBench or experimental
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

Citations2
Published2004
Admission routes1
Has abstractyes

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