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Record W3036371320 · doi:10.1109/lsens.2020.3002847

Near Infrared-Controlled Whispering Gallery Mode Resonator Sensor

2020· article· en· W3036371320 on OpenAlexaff
Amir Raeesi, Ala Eldin Omer, Afsaneh Hojjati-Firoozabadi, Aidin Taeb, Suren Gigoyan, Safieddin Safavi‐Naeini

Bibliographic record

VenueIEEE Sensors Letters · 2020
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsResonatorWhispering-gallery waveWhispering galleryMaterials scienceMicrostripOptoelectronicsOpticsCoupling (piping)Helical resonatorSensitivity (control systems)PhysicsElectronic engineeringEngineering

Abstract

fetched live from OpenAlex

In this letter, a near infrared (NIR) controlled whispering gallery mode resonator sensor is presented. The resonator incorporates a high-resistivity silicon (HRS) disk, which is placed in the proximity of a microstrip line. The strength of the coupling in the resonator is controlled through illumination of the HRS disk by the NIR radiation. By tuning the amount of this illumination, and without making any change in the physical structure of the resonator, it is shown that the resonator can be easily adjusted to operate in its most sensitive way: critical coupling condition. Under this condition, the transparency level of the sample-under-test to the NIR radiation strongly affects the level of coupling from the microstrip line to the resonator, and as a consequence, the sensing mechanism is realized. For verification of the proposed sensing technique, experiments over salty liquid and aqueous glucose solution are carried out. The sensor operates at a frequency of 29.08 GHz and shows high sensitivity of 0.76-1.62 dB/(mg/ml).

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.414
Threshold uncertainty score1.000

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 head0.205
Teacher spread0.195 · 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.

Study designSimulation or modeling
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

Citations7
Published2020
Admission routes1
Has abstractyes

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