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Record W2167612990 · doi:10.1002/mop.20983

Design of a new phased-array driver using a six-port phase discriminator

2005· article· en· W2167612990 on OpenAlexaff
E. Moldovan, Serioja Ovidiu Tatu, Tayeb A. Denidni, Ke Wu, R.G. Bosisio

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2005
Typearticle
Languageen
FieldEngineering
TopicMicrowave and Dielectric Measurement Techniques
Canadian institutionsInstitut National de la Recherche ScientifiquePolytechnique Montréal
Fundersnot available
KeywordsPhased arrayDiscriminatorAntenna arrayEngineeringAntenna (radio)MicrowaveElectrical engineeringPort (circuit theory)Phase (matter)Phased-array opticsElectronic engineeringPower (physics)TelecommunicationsPhysicsDetector

Abstract

fetched live from OpenAlex

A new phased-array driver module for a two-antenna array is proposed in this paper. This driver, designed using a six-port phase discriminator, automatically controls the phase of one antenna-array element in order to maximize the received power. The results for a phased two-antenna array operating at 2.45 GHz are presented and discussed. © 2005 Wiley Periodicals, Inc. Microwave Opt Technol Lett 46: 346–349, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.20983

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.029
GPT teacher head0.257
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

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
GenreMethods

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

Citations3
Published2005
Admission routes1
Has abstractyes

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