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Record W3212258963 · doi:10.1364/sensors.2021.stu1a.7

Fast Magnetic Field Sensing Utilizing Magnetic Fluid as the Cladding of Infiltrated Photonic Crystal Fiber

2021· article· en· W3212258963 on OpenAlexaff
Saeed Azad, Ricardo Izquierdo, Bora Ung

Bibliographic record

VenueOSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES) · 2021
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsMaterials scienceMagnetic fieldPhotonic-crystal fiberCladding (metalworking)Photonic crystalFiberPhotonicsOptical fiberOptoelectronicsOpticsComposite materialPhysics

Abstract

fetched live from OpenAlex

A photonic crystal fiber infiltrated with magnetic fluid is proposed for measuring magnetic field in harsh and hard to reach places. Experimental results indicated a fast response and showed a good fit with simulations.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.377
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.009
GPT teacher head0.220
Teacher spread0.211 · 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 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueOSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES)Same topicAdvanced Fiber Optic SensorsFrench-language works237,207