MétaCan
Menu
Back to cohort
Record W4409723968 · doi:10.23919/emsci.2024.0036

Leaky Horns: A New Paradigm of Developing Electromagnetic Horns Based on Leaky- Wave Structures

2025· article· en· W4409723968 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

VenueElectromagnetic Science · 2025
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsPolytechnique Montréal
FundersFundamental Research Funds for the Central UniversitiesNatural Science Foundation of Jiangsu Province
KeywordsFrench hornPhysicsAcousticsElectromagnetic radiationComputer scienceOptics

Abstract

fetched live from OpenAlex

More than one-century history of microwaves has witnessed two seemingly unrelated developments of leaky-wave and horn antennas. While conventional horns cannot be made free from phase error even though the optimum horn criterion is adopted, this problem can theoretically be tackled by artfully exploiting the plane-wave nature of near-field wedge-shaped regions of leaky-wave antennas/structures to create an intrinsically phase-error-free horn. This special horn class is comprised of a pair of properly aligned leaky-wave structures and is thus named “leaky horn” to imply its hybrid attribute inherited from both leaky-wave and horn communities. From the authors' perspective, the leaky horn presents a paradigm shift in developing electromagnetic horns, which will be a competitive rival over conventional horns in wireless applications and thus merits close attention.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.432
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.014
GPT teacher head0.247
Teacher spread0.234 · 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