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Record W4393241316 · doi:10.1109/tcpmt.2024.3382628

Sensitivity Enhancement of Microwave Split-Ring-Resonator Sensors

2024· article· en· W4393241316 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

VenueIEEE Transactions on Components Packaging and Manufacturing Technology · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Frequency and Time Standards
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMicrowaveSensitivity (control systems)ResonatorRing (chemistry)Materials scienceOptoelectronicsElectronic engineeringAcousticsPhysicsTelecommunicationsComputer scienceEngineeringChemistry

Abstract

fetched live from OpenAlex

Split-ring resonators (SRRs) are structurally studied to optimize the sensitivity of planar microwave sensors in terms of frequency variation sensitivity. An indirect excitation profile integrated with symmetrically orientated split-gap SRRs is developed for sensitivity enhancement. The electromagnetic (EM) fields are manipulated to reinforce each other in favor of a fringing EM fields enhancement in the new SRR sensor (SRRS) topology. The intensified fringing EM fields are expected to further interact with a surrounding medium resulting in sensitivity improvement. Moreover, SRRs are examined with a direct excitation profile to enhance the sensitivity of the sensors. The experimental results confirm sensitivity enhancement by the ratios of 2.04:1 and 1.98:1 for the first and second higher mode resonances, respectively.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.653
Threshold uncertainty score0.825

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 head0.010
GPT teacher head0.244
Teacher spread0.235 · 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