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Record W4293565822 · doi:10.1016/j.rineng.2022.100533

Studying and evaluation physical characteristic of composite substrate chip and, its application

2022· article· en· W4293565822 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

VenueResults in Engineering · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
FundersUniversité du Québec à MontréalUniversité du Québec en Abitibi-Témiscamingue
KeywordsMaterials scienceDielectricGrapheneComposite numberOptoelectronicsFluidicsSubstrate (aquarium)ChipComposite materialElectrical impedanceElectronic engineeringNanotechnologyComputer scienceElectrical engineeringTelecommunications

Abstract

fetched live from OpenAlex

We aim to demonstrate the creation of a fabricated fluidic antenna based on dielectric PDMS substrate, its unique properties of conductivity, flexibility, robustness, and use as an antenna. We evaluated an appropriate fluidic solution comprised of a polyethyleneimine (PEI) matrix assembled from nanoparticle Ttinum oxides and graphene. Various investigations of its mechanical flexibility (stress), thermal properties (DSC), and IR have been carried out on fabricated PDMS substrates, and a dielectric was recorded at 2.67. In addition, (TEM), IR, UV, and Electrochemical Impedance (EIS) tests have been performed to evaluate the PEI matrix-like surface morphology. The measurement and simulation outcomes show that the fabricated antenna operates at 1.8–2.6 GHz, which covers the WLAN band area.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score0.416

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 head0.018
GPT teacher head0.244
Teacher spread0.226 · 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