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Record W1991030490 · doi:10.1109/jlt.2014.2314611

100 Gb/s Intensity Modulation and Direct Detection

2014· article· en· W1991030490 on OpenAlex

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

VenueJournal of Lightwave Technology · 2014
Typearticle
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsQueen's University
Fundersnot available
KeywordsSubcarrierIntensity modulationQuadrature amplitude modulationElectronic engineeringComputer scienceModulation (music)Pulse-amplitude modulationBandwidth (computing)Analog transmissionSignal processingTransmission (telecommunications)OpticsPhase modulationOrthogonal frequency-division multiplexingPhysicsDigital signal processingTelecommunicationsDigital signalEngineeringPhase noiseBit error rateDetectorDecoding methodsChannel (broadcasting)

Abstract

fetched live from OpenAlex

Recent advances in short reach 100 Gb/s intensity modulation and directed detection systems are briefly reviewed. As an illustrative example of using digital signal processing enabled transmitters and receivers to allow relatively modest symbol rates, the generation and detection of 112 Gb/s 16-QAM half-cycle Nyquist subcarrier modulation are considered using dual-polarization, single-carrier and single-polarization, dual-carrier implementations. High bandwidth directly modulated passive feedback lasers are used to generate the optical signals and pre-amplified receivers are used to detect the received signals in a back-to-back system and after transmission over 4 km of single-mode fiber.

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 score0.680
Threshold uncertainty score0.376

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 head0.005
GPT teacher head0.189
Teacher spread0.184 · 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