MétaCan
Menu
Back to cohort
Record W2509520234 · doi:10.1109/mwsym.2016.7540187

Mode-selective transmission line for DC-to-THz super-broadband operation

2016· article· en· W2509520234 on OpenAlexaff
Faezeh Fesharaki, Tarek Djerafi, Mohamed Chaker, Ke Wu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsInstitut National de la Recherche ScientifiquePolytechnique Montréal
Fundersnot available
KeywordsPlanarTerahertz radiationBroadbandMaterials scienceMicrowaveOpticsTransmission lineAttenuationOptoelectronicsElectric power transmissionTransmission (telecommunications)WaveguideElectrical engineeringPhysicsTelecommunicationsComputer scienceEngineering

Abstract

fetched live from OpenAlex

A class of transformative transmission lines and waveguides called mode-selective transmission line (MSTL), is devised and demonstrated in this work. MSTL, in a fully integrated form, exhibits a disparate modal characteristic of traditional planar microwave transmission lines and non-planar waveguides. Whereas at low frequency, MSTL operates under the TEM regime, the operating mode is gradually converted to low-loss TE10 mode for operation as frequency moves up such as millimeter-waves and THz. An experimental MSTL prototype on fused silica substrate is designed, fabricated, and measured from DC to 500 GHz, showing unprecedented low-attenuation and low-dispersion characteristics over the entire frequency range.

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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

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)0.0010.001

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 head0.011
GPT teacher head0.230
Teacher spread0.219 · 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

Citations10
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicMicrowave Engineering and WaveguidesFrench-language works237,207