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Record W4313194797 · doi:10.1364/bgppm.2022.bm2a.1

Distributed Curvature Sensing Using a Novel FBG-Based Hybrid Polycarbonate-Silica Multicore Fiber

2022· article· en· W4313194797 on OpenAlexaff
Tommy Boilard, Guillaume Bilodeau, Steeve Morency, Younès Messaddeq, Richard Fortier, François Trépanier, Martin Bernier

Bibliographic record

VenueOptica Advanced Photonics Congress 2022 · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsTeraXion (Canada)Center for Northern StudiesUniversité Laval
Fundersnot available
KeywordsMaterials sciencePolycarbonateCurvaturePolyimidePhotonic-crystal fiberFiberMulti-core processorCore (optical fiber)Optical fiberComposite materialOpticsComputer scienceParallel computingLayer (electronics)Physics

Abstract

fetched live from OpenAlex

A 750 µm diameter hybrid multicore fiber that is 7 times more sensitive for curvature sensing than a standard 125 µm multicore silica fiber is made by drawing a microstructured polycarbonate preform over three polyimide-coated silica fibers containing prewritten distributed arrays of FBGs.

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 categoriesMeta-epidemiology (narrow)
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 score0.202
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.012
GPT teacher head0.233
Teacher spread0.221 · 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.

Study designSimulation or modeling
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
Published2022
Admission routes1
Has abstractyes

Explore more

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