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Record W3150497543 · doi:10.1109/imtc.2006.328316

A Novel Fiber-Optic Tapered Long-Period Bragg Grating Sensor for Pressure Monitoring

2006· article· en· W3150497543 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueConference proceedings - IEEE Instrumentation/Measurement Technology Conference · 2006
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsUniversité du Québec en Outaouais
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsFiber Bragg gratingMaterials scienceFiber optic sensorLong-period fiber gratingPHOSFOSOpticsFabricationOptical fiberBar (unit)Pressure sensorGratingPolarization-maintaining optical fiberOptoelectronicsEngineeringPhysics

Abstract

fetched live from OpenAlex

The method and the required installations for fabricating tapered long-period fiber gratings can be simpler than that of the standard fiber Bragg gratings, and the fabrication process is faster. To our knowledge the fiber-optic tapered long-period fiber grating pressure sensor is presented here for the first time. In this paper the fabrication method for tapered long-period fiber gratings, the sensing principle, the sensor structure, the measurement set-up and the preliminary results are presented and discussed. The pressure sensitivity of the sensor is as high as 5.1 pm/bar

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
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
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.035
GPT teacher head0.246
Teacher spread0.212 · 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