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Record W2908191595 · doi:10.1109/ifetc.2018.8583913

A 3D Printed Flexible Passive RFID for Temperature Sensing

2018· article· en· W2908191595 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRFID technology advancements
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsRadio-frequency identificationChipAntenna (radio)InkwellPolyimideConductive inkMaterials scienceRadio frequencyInterconnectionElectronic componentElectrical conductorOptoelectronicsPrinted circuit boardElectrical engineeringElectronic engineeringComputer scienceTelecommunicationsEngineeringNanotechnologyLayer (electronics)

Abstract

fetched live from OpenAlex

The 3D printed passive radio frequency identification (RFID) tags with integrated electronic components on flexible polyimide is fabricated. The RF antenna and chip interconnection are printed with a silver nanoparticle based conductive ink. The antenna was optimized to match with resonance frequency of RFID chip as 910 MHz. And components and an RFID chip are mounted and soldered. Selected RFID chip contains electronic product code (EPC) and built-in temperature sensor, which allows temperature sensing ability as well as multiple identification.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.357
Threshold uncertainty score0.412

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 head0.007
GPT teacher head0.239
Teacher spread0.232 · 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

Quick stats

Citations4
Published2018
Admission routes1
Has abstractyes

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