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Record W2893634420

RF humidity sensor implemented with PEI-coated compact microstrip resonant cell

2017· article· en· W2893634420 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 Conference Proceedings · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMaterials scienceMicrostripRelative humidityHumidityDielectricOptoelectronicsReturn lossCoaxialElectrical engineeringAntenna (radio)EngineeringPhysics
DOInot available

Abstract

fetched live from OpenAlex

This paper presents a novel application of RF Compact Microstrip Resonant Cells (CMRC) coated with polyethylenimine (PEI) to form a high performance RF relative humidity (%RH) sensor. The single-port, short-circuit terminated CMRC sensor cell is coated with 5 uL of 10 w.t.% PEI diluted in methanol, and is coupled to the ultra-micro coaxial connector (UMCC) through a direction transmission line. The PEI coating coming in contact with humid air undergoes changes in both physical volume and dielectric constant, thereby shifting the resonant frequency of the CMRC sensor. The return loss (S11) measured near the resonant frequency of the sensor has seen an average humidity sensitivity of −16.2 mdB / %RH, with great linearity across the full range of relative humidity levels. All measurements are done at atmospheric temperature and pressure (ATM).

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 score0.023
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 communication0.0000.001
Open science0.0010.000
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 head0.033
GPT teacher head0.260
Teacher spread0.228 · 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