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Record W2944541353 · doi:10.23919/cleo.2019.8750316

Differential Phase Noise Properties in QD-MLL and Its Performance in Coherent Transmission Systems

2019· article· en· W2944541353 on OpenAlex
Mustafa Al-Qadi, Maurice O’Sullivan, Chongjin Xie, Rongqing Hui

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

VenueConference on Lasers and Electro-Optics · 2019
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsCiena (Canada)
Fundersnot available
KeywordsPhase noiseQuantum noiseNoise (video)Transmission (telecommunications)Differential phasePhysicsQuantum dotPhase (matter)OpticsDifferential (mechanical device)Quantum dot laserShot noiseOptoelectronicsQuantumLaserQuantum wellTelecommunicationsComputer scienceQuantum mechanics

Abstract

fetched live from OpenAlex

We show that the differential phase noise between adjacent comb lines in quantum-dot mode-locked lasers may exhibit higher phase noise impacts in coherent transmission systems than their apparent narrow linewidths, due to unique spectral profiles. © 2019 The Author(s)

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 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 score0.942
Threshold uncertainty score0.715

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 head0.018
GPT teacher head0.216
Teacher spread0.198 · 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