MétaCan
Menu
Back to cohort
Record W2412552300

Calculation of the Transfer of Longitudinally Irregular Characteristics Open Dielectric Waveguides

2016· article· en· W2412552300 on OpenAlexvenueno aff
Sabadash Anastasiia

Bibliographic record

VenueAdvances in natural science/Advances in natural sciences · 2016
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsnot available
Fundersnot available
KeywordsOpticsFiber Bragg gratingMaterials scienceDispersion (optics)Graded-index fiberRefractive indexOptical fiberDielectricDispersion-shifted fiberWavelengthRefractive index profileSingle-mode optical fiberTransfer-matrix method (optics)GratingOptoelectronicsPhysicsFiber optic sensor
DOInot available

Abstract

fetched live from OpenAlex

Along with longitudinally regular open dielectric waveguides are widespread longitudinally irregular waveguides. In the optical wavelength range commonly used fiber Bragg gratings that are used in constructing the various functional components of optical communication systems, in particular, frequency filters, discriminators mode, dispersion compensators etc. The article presents the calculation of the dispersion of symmetric waves of an optical fiber with a periodically varying refractive index along the axis. Calculations of dispersion of symmetric waves of an optical fiber with a periodically varying refractive index along the axis (a segment of the fiber - the basis of the Bragg grating). The novelty lies in the fact that the calculation algorithm is based on a combination of the Bubnov-Galerkin method of partial areas (MPA) and iterative process.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.275
Teacher spread0.266 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueAdvances in natural science/Advances in natural sciencesSame topicSemiconductor Lasers and Optical DevicesFrench-language works237,207