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Record W2083857988 · doi:10.1109/lmwc.2012.2236081

A novel chipless identification tag based on a substrate integrated cavity resonator

2013· article· en· W2083857988 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 Microwave and Wireless Components Letters · 2013
Typearticle
Languageen
FieldEngineering
TopicRFID technology advancements
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsResonatorSubstrate (aquarium)PermittivityIdentification (biology)MicrowaveElectronic engineeringSignature (topology)Computer scienceQ factorChipless RFIDOptoelectronicsPhysicsEngineeringElectrical engineeringTelecommunicationsMathematicsDielectric

Abstract

fetched live from OpenAlex

This letter presents a novel tag structure for microwave identification. The new tag is based on a high quality factor ( <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Q</i> =366) substrate integrated cavity resonator in which data are encoded by introducing a variation in the effective permittivity which gives a unique and identifiable frequency spectral signature. The proposed tag design operates in the frequency range of 10.5-11 GHz. The substrate integrated tag presented has the advantages of being low cost, zero power consumption, compact and can be also transferred to different types of substrates, making it suitable for many mass production applications.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
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 head0.012
GPT teacher head0.196
Teacher spread0.184 · 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