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Record W4225535773 · doi:10.1109/lsens.2022.3159622

A Compact Wireless Passive Harmonic Sensor for Ammonia Sensing in Packaged Food

2022· article· en· W4225535773 on OpenAlexafffund
Robin Raju, Greg E. Bridges

Bibliographic record

VenueIEEE Sensors Letters · 2022
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Resonator Technologies
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAmmoniaOptoelectronicsSIGNAL (programming language)Materials scienceWirelessElectrodeAcousticsElectrical engineeringComputer scienceTelecommunicationsChemistryPhysicsEngineering

Abstract

fetched live from OpenAlex

Sensing of volatile acidic/basic gases plays a significant role in the early detection of food spoilage. This letter presents a compact low-cost quasi-chipless sensor for monitoring of such gases. The sensor utilizes a dual-band annular ring antenna to receive, modulate, and retransmit an incoming interrogation signal at double the frequency and with an orthogonal polarization. The application of the sensor for monitoring ammonia is presented. The resonant frequency of the receiving mode of the antenna is sensitized to ammonia using a varactor-based transduction scheme utilizing a hydrogel-coated pH electrode pair. The sensor provides a linear response to the logarithm of the concentration of ammonia, a sensitivity of 2.3 MHz per unit log concentration and greater than 1-m range for a signal to noise of better than 30 dB.

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 score0.003

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 communication0.0000.001
Open science0.0010.000
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 head0.015
GPT teacher head0.212
Teacher spread0.197 · 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

Citations16
Published2022
Admission routes2
Has abstractyes

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