MétaCan
Menu
Back to cohort
Record W1511335976

Miniaturized RF MEMS switch cells for crossbar switch matrices

2010· article· en· W1511335976 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

VenueAsia-Pacific Microwave Conference · 2010
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCrossbar switchMicroelectromechanical systemsReturn lossBandwidth (computing)Insertion lossWidebandCrossover switchElectrical engineeringRadio frequencyElectronic engineeringMaterials scienceComputer scienceOptoelectronicsEngineeringTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

This paper proposes miniaturized RF MEMS switch cell units for wideband scalable switch matrices. Two switch cells named type 1 and type 2, each has four and three MEMS switches respectively, are presented. Both of the cells are miniaturized in physical dimensions. They are 340 µm × 340 µm. To authors' knowledge, these are the smallest cell units for RF MEMS switch matrices ever reported. RF performance of the proposed switch cell units are presented. Both of the designs exhibit excellent RF performance. The measured results demonstrated return loss (S11 and S44) better than 20 dB for both, while maintaining isolation (S41) better than 20 dB for state 1, across DC to 40 GHz bandwidth for both types. At state 2, 20 dB isolation is recorded across the bandwidth of interest. They also show better than 20 dB return loss (S11).

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
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 science0.0010.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.229
Teacher spread0.218 · 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