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Record W2142412556 · doi:10.1109/lpt.2005.860372

Bragg grating evanescent field sensor made in biconical tapered fiber with femtosecond IR radiation

2005· article· en· W2142412556 on OpenAlex
Dan Grobnic, Stephen J. Mihailov, Huimin Ding, Christopher W. Smelser

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.

Bibliographic record

VenueIEEE Photonics Technology Letters · 2005
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsCommunications Research Centre Canada
Fundersnot available
KeywordsFiber Bragg gratingMaterials scienceOpticsCladding (metalworking)FemtosecondGratingRefractive indexPHOSFOSFiber optic sensorOptoelectronicsOptical fiberLaserLong-period fiber gratingCladding modeGraded-index fiberPolarization-maintaining optical fiberWavelengthPhysics

Abstract

fetched live from OpenAlex

Retro-reflective Bragg gratings were made with a phase mask and femtosecond radiation from a Ti : sapphire infrared laser into the core and cladding region of a tapered single-mode fiber. The evanescent field in the taper interacts with the ambient environment and the intensity of the reflected signal is used to measure the refractive index changes of the ambient environment as low as 2.5/spl times/10/sup -5/. By controlling the immersion depth of the grating taper, use of the taper as a single port point sensor for measuring fluid levels is also demonstrated.

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 score0.216
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.005
GPT teacher head0.207
Teacher spread0.203 · 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