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Record W4372203190 · doi:10.1016/j.measen.2023.100773

Detection of C2H2 using a segmented HC-PCF gas cell

2023· article· en· W4372203190 on OpenAlexaff
Joshua O. Trevisanutto, Jonas K. Valiunas, Gautam Das

Bibliographic record

VenueMeasurement Sensors · 2023
Typearticle
Languageen
FieldChemistry
TopicSpectroscopy and Laser Applications
Canadian institutionsLakehead University
Fundersnot available
KeywordsFiber Bragg gratingMaterials scienceLaserPhotonic-crystal fiberOpticsAcetyleneWavelengthFiber laserOptoelectronicsAbsorption (acoustics)GratingCore (optical fiber)FiberChemistry

Abstract

fetched live from OpenAlex

This article demonstrates a fiber laser system that can detect acetylene gas (C2H2) at parts per million (ppmv) levels. The authors investigated the use of off-resonance laser wavelength to develop a highly sensitive detection system. They have developed a gas cell using segmented Hollow-Core Photonic Crystal fiber (HC-PCF), which reduced the filling and evacuation time and thus greatly improved the response time. The gas cell was filled with the gas sample and placed inside the laser cavity, which formed an intracavity laser absorption spectroscopic system. The laser wavelength was selected using a fiber Bragg grating (FBG). The fiber Bragg grating wavelength was centered between the R (5) and R (4) rotational lines of the acetylene ν1 + ν3 combination band, at 1522.22 nm, and used to probe their absorption.

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)0.000
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: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.263
Teacher spread0.214 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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