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Record W2022789486 · doi:10.1139/p00-062

Tunable resonance in a superstrate-loaded lossy circular disk microstrip structure

2000· article· en· W2022789486 on OpenAlexvenueno aff
Çiğdem Seçkin Gürel, E. Yazgan

Bibliographic record

VenueCanadian Journal of Physics · 2000
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsMicrostripLossy compressionGround planeResonance (particle physics)Plane (geometry)OpticsSubstrate (aquarium)OptoelectronicsAcousticsTelecommunicationsAtomic physicsGeometry

Abstract

fetched live from OpenAlex

The tunable resonance characteristics of a superstrate-loaded circular disk microstrip structure having a lossy ground plane are analysed for various structural parameters. It is shown that the decrease in the resonant frequency as a result of the occurence of the superstrate layer or increase in the medium temperature can be compensated for by using the opposite effect of an air gap inserted between the substrate and the ground plane. By means of this tuning scheme it is possible to stabilize the resonant-frequency variations and to control radiational loss characteristic of the structure without disturbing the original configuration. PACS No.: 40.00

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 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: Empirical
Teacher disagreement score0.290
Threshold uncertainty score0.495

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 head0.009
GPT teacher head0.187
Teacher spread0.178 · 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 teacher head, 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

Citations1
Published2000
Admission routes1
Has abstractyes

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