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Record W2972833010

A Two-Port Microstrip Sensor Antenna for Permittivity and Loss Tangent Measurements

2019· article· en· W2972833010 on OpenAlex
Mohammad Mahdi Honari, Rashid Mirzavand, Hossein Saghlatoon, Pedram Mousavi

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

VenueEuropean Conference on Antennas and Propagation · 2019
Typearticle
Languageen
FieldEngineering
TopicMicrowave and Dielectric Measurement Techniques
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDissipation factorMicrostrip antennaPatch antennaAntenna (radio)AcousticsCoaxial antennaAntenna measurementPermittivityAntenna factorMaterials scienceRadiation patternAntenna efficiencyElectronic engineeringOpticsComputer sciencePhysicsTelecommunicationsEngineeringOptoelectronicsDielectric
DOInot available

Abstract

fetched live from OpenAlex

A two-port microstrip sensor antenna system is presented for characterizing different materials. The proposed sensor antenna can estimate both permittivity and loss tangent of a sample under test (SUT). Compared to the single port sensor antenna, the proposed sensor antenna system is more practical since the working frequency of the system can be adjusted easily. The permittivity of material has a huge impact on the antenna resonance, while its loss tangent affects power transmitted to the second port. Therefore, by finding out the antenna resonance and the level of transmission response, one can characterize the materials. The results show that the antenna radiation pattern is not deteriorated for samples with different permittivities and loss tangents.

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)0.000
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 score0.297
Threshold uncertainty score0.654

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.050
GPT teacher head0.249
Teacher spread0.199 · 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