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Record W2165193979 · doi:10.1109/ecoc.2010.5621590

Quantum-dash mode-locked laser source for wavelength-tunable 56 Gbit/s DQPSK

2010· preprint· en· W2165193979 on OpenAlexaff
Yousra Ben M’Sallem, Quang Trung Le, Laurent Bramerie, Quoc‐Thai Nguyen, Eric Borgne, Pascal Besnard, Sophie LaRochelle, Leslie A. Rusch, Jean–Claude Simon

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsUniversité Laval
FundersAgence Nationale de la Recherche
KeywordsBit error rateWavelength-division multiplexingGigabitOpticsLaserPhase-shift keyingOptoelectronicsMode-lockingPhase noiseWavelengthDashPhysicsComputer scienceTelecommunicationsChannel (broadcasting)

Abstract

fetched live from OpenAlex

We investigate wavelength tunable 56 Gbit/s DQPSK systems using comb generation in a quantum-dash mode-locked laser. Relative intensity noise and bit error rate is measured for each mode. Error-free operation is obtained over 9 WDM channels with 100 GHz spacing.

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 categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0030.003
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 head0.014
GPT teacher head0.233
Teacher spread0.219 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2010
Admission routes1
Has abstractyes

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