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Record W2171013206 · doi:10.1109/icmens.2003.1222031

High-temperature Bragg grating waveguide sensor

2004· article· en· W2171013206 on OpenAlexafffund
B. Zhang, Mojtaba Kahrizi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of CanadaConcordia University
KeywordsMaterials scienceTemperature measurementOpticsFiber Bragg gratingThermometerWavelengthOptoelectronicsWaveguideRangingDielectricGratingDetectorRadiationSpectrum analyzerPhysicsTelecommunications

Abstract

fetched live from OpenAlex

Design and analyses of a periodic dielectric Bragg grating waveguide temperatures reported in this work. The sensor is capable to measure temperatures ranging from room temperature to over 1200/spl deg/C. By using this sensor combined with a wavelength shifting detector and radiation detection schemes, a wide range thermometer can be built. Temperature can be measured in two steps using our thermal sensor. First step is to detect the wavelength shifting by an optical spectrum analyzer (OSA). The wavelength shifting could be converted to the change of environment temperature. This method is appropriate for the temperatures ranging from 20/spl deg/C to 600/spl deg/C. Another step is to detect the power of the probe radiation for the temperature range of over 600/spl deg/C to the melting point of the probes. This sensor has potential applications in many areas particularly in aerospace industries.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.006
GPT teacher head0.200
Teacher spread0.195 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2004
Admission routes2
Has abstractyes

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