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Record W1499901544

A circularly polarized broadside scanning patch array

2010· article· en· W1499901544 on OpenAlexaff
Trevor R. Cameron, Adrian Sutinjo, M. Okoniewski

Bibliographic record

VenueEuropean Conference on Antennas and Propagation · 2010
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBroadsideDirectivityOpticsLeaky wave antennaMicrostripMicrostrip antennaOffset (computer science)PhysicsRadiationReturn lossWavenumberPatch antennaRadiation patternAcousticsAntenna (radio)Computer scienceTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

A series-fed microstrip traveling wave circularly polarized antenna array is designed to allow frequency scanning through broadside. The antenna is modeled as a periodic leaky-wave structure. As the structure was developed, the leaky wavenumber k LW was monitored, from which the angle of the main radiation beam and the directivity may be deduced. The design uses a single corner-fed offset patch per cell as radiating elements. The design initially had poor return loss due to the nature of the structure, which is addressed by the introduction of compensation based on transmission line matching. Full-wave simulations as well as a prototype of the design verified the approach. Broadside radiation was achieved. Furthermore, the extracted leaky-wave number properly predicts the behavior seen in radiation measurements.

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: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.018
GPT teacher head0.214
Teacher spread0.196 · 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

Citations5
Published2010
Admission routes1
Has abstractyes

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