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Record W2124677577 · doi:10.1002/mop.21956

Perturbation analysis of fiber surface plasma resonance sensor

2006· article· en· W2124677577 on OpenAlexaff
F.G. Sun, Z. Y. Zhang, Gongli Xiao, Zhenguo Lü

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2006
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsInstitute for Microstructural Sciences
Fundersnot available
KeywordsWavelengthPerturbation (astronomy)MicrowaveResonance (particle physics)PlasmaPhysicsDielectricOpticsComputational physicsAtomic physicsOptoelectronicsQuantum mechanics

Abstract

fetched live from OpenAlex

Abstract Perturbation method is used to calculate the resonance wavelength shift and the sensitivity of fiber surface plasma resonance sensor. We show that the resonance wavelength always shifts to long wavelength direction as the sensed medium dielectric index increases. © 2006 Wiley Periodicals, Inc. Microwave Opt Technol Lett 48: 2425–2427, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.21956

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.

How this classification was reachedexpand

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 score0.053
Threshold uncertainty score0.596

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.005
GPT teacher head0.191
Teacher spread0.187 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2006
Admission routes1
Has abstractyes

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