MétaCan
Menu
Back to cohort
Record W2058707255 · doi:10.1109/tap.2014.2364303

MEMS-Tunable Half Phase Gradient Partially Reflective Surface for Beam-Shaping

2014· article· en· W2058707255 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaMitacsCMC Microsystems
KeywordsBeam steeringMicroelectromechanical systemsOpticsBeam (structure)BroadsidePhase (matter)Conical surfaceMaterials scienceAntenna (radio)AcousticsOptoelectronicsPhysicsComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

A MEMS-tunable beam-shaping half phase-gradient (HPG) resonant cavity antenna (RCA) is presented. Traditionally, the full phase-gradient (FPG) partially reflective surface (PRS) is used in center-fed RCA for generating asymmetric off-broadside beams. Here, the novel configuration of HPG-PRS is offered with the advantages of faster real-time tracking and an improved scan profile compared to the FPG-PRS. A HPG-PRS is designed to scan 12 - 50° off broadside with frequency and also steer its beam for 69° at fixed frequency. Finally, the tunable PRS unit cell required for beam-steering in an RCA is realized using hybrid-integrated in-house developed RF-MEMS switches. These switches can be used to control the beam shape among: broadside, symmetric conical, and also an asymmetric single beam which is either frequency-scanned or steered at fixed frequency.

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 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: none
Teacher disagreement score0.797
Threshold uncertainty score0.663

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 head0.032
GPT teacher head0.277
Teacher spread0.245 · 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