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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 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.
fundA Canadian funder is recorded on the work.

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.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
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 integrity0.0000.001
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 head0.015
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