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Record W2016030147 · doi:10.1117/12.707703

Fiber optical chemical sensors: design, fabrication, and characterization of a multimode plastic optical fibre with an ion-selective cladding

2006· article· en· W2016030147 on OpenAlexaff
Liya Muslinkina, Christophe Lafond, Serge Caron, Claude Paré, Jean-Luc Soucy, André Fougères

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006
Typearticle
Languageen
FieldChemical Engineering
TopicAnalytical Chemistry and Sensors
Canadian institutionsInstitut National d'Optique
Fundersnot available
KeywordsMulti-mode optical fiberCladding (metalworking)Materials scienceFabricationMembraneOptical fiberHard-clad silica optical fiberCladding modeIonPlastic-clad silica fiberAbsorbancePlastic optical fiberOptoelectronicsAll-silica fiberOpticsComposite materialFiber optic sensorFiberPolarization-maintaining optical fiberChemistry

Abstract

fetched live from OpenAlex

Multimode PMMA optical fibres with a cladding made from ion-selective membrane were designed, prepared, and investigated. Some were prepared by direct drawing of membrane-coated preforms and others were overcoated. Results obtained indicate loss of membrane sensitivity that is attributed to decrease of its ionic permeability. Absorbance of the fibre follows a modified Beer law as confirmed by rank analysis of series of spectra and explained by significant mode coupling within the fibre.

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)0.001
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: Methods · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
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 head0.009
GPT teacher head0.208
Teacher spread0.199 · 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
GenreMethods

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
Published2006
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicAnalytical Chemistry and SensorsFrench-language works237,207