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Record W2980258660 · doi:10.1109/ccece.2019.8861771

Discrete Microwave Spectroscopy using Planar Resonator

2019· article· en· W2980258660 on OpenAlexaff
Navid Hosseini, Masoud Baghelani, Mojgan Daneshmand

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave and Dielectric Measurement Techniques
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHarmonicsPermittivityMaterials scienceResonatorMicrowaveHarmonicWidebandPlanarAcousticsRelative permittivitySplit-ring resonatorOptoelectronicsElectronic engineeringOpticsElectrical engineeringDielectricComputer sciencePhysicsEngineeringTelecommunications

Abstract

fetched live from OpenAlex

This work presents wideband harmonic based liquid sensing using planar microwave resonators. A thin layer LTCC substrate is utilized to design and fabricate a ring resonator sensor, monitoring its harmonics up to 40GHz. Non-constant permittivity frequency spectrum of liquids generate correlated nonlinear frequency shifts in the harmonic frequencies. This information can then be employed to backtrack the liquid properties and permittivity across a wideband frequency. Sample reading in a frequency range of 3GHz to 40 GHz represents a satisfactory distinction between different kinds of the liquids under the test. Using de-ionized (DI) water, methanol and propanol, different frequency responses are gathered over the full frequency range of 40 GHz for 5-sample points as reference harmonics.

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 score0.324
Threshold uncertainty score0.504

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 head0.014
GPT teacher head0.225
Teacher spread0.212 · 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

Citations15
Published2019
Admission routes1
Has abstractyes

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