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Record W2535627785 · doi:10.1109/jstqe.2016.2617084

Slot Waveguide Ring-Assisted Mach–Zehnder Interferometer for Sensing Applications

2016· article· en· W2535627785 on OpenAlexaff
Owen Marsh, Yule Xiong, Winnie N. Ye

Bibliographic record

VenueIEEE Journal of Selected Topics in Quantum Electronics · 2016
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsCarleton University
Fundersnot available
KeywordsInterferometryMach–Zehnder interferometerWaveguideRing (chemistry)OpticsOptoelectronicsComputer scienceMaterials sciencePhysics

Abstract

fetched live from OpenAlex

We experimentally demonstrate a ring-assisted Mach-Zehnder interferometer (RAMZI) design with slot waveguides for bulk index sensing using sucrose solution. Devices were implemented with both directional couplers (DCs) and multimode interferometer couplers (MMIs). The RAMZI designs with DCs were found to have a sensitivity of 203.3 ± 15.3 nm/RIU, while 177.2 ± 12.0 nm/ RIU was demonstrated with MMIs-coupled RAMZI. The free spectral ranges (FSRs) of DCs and MMIs-coupled RAMZI were measured to be 24.3 and 34.3 nm, respectively. The FSRs demonstrated can be as wide as 7.9 times larger than the equivalent microring resonator.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score0.585

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 integrity0.0000.000
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 head0.017
GPT teacher head0.254
Teacher spread0.237 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations15
Published2016
Admission routes1
Has abstractyes

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