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Record W2107012075 · doi:10.1109/ofc.2002.1036502

Reliability of 980 nm pump lasers for submarine, long-haul terrestrial, and low cost metro applications

2002· article· en· W2107012075 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSolid State Laser Technologies
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsLaserMaterials scienceReliability (semiconductor)SubmarineHeat sinkFiber laserOptoelectronicsPower (physics)Environmental scienceOpticsElectrical engineeringEngineeringPhysicsMarine engineering

Abstract

fetched live from OpenAlex

The G06 generation of 980 nm pump lasers shows very low failure rates below 100 FIT at 410 mW output power and 25/spl deg/C heat sink temperature. The failure rate is below 1000 FIT at an ex-fiber output power of 200 mW and 75/spl deg/C for FBG stabilized modules that operate over a temperature range from 0/spl deg/C to 75/spl deg/C. This makes the G06 pump lasers the best choice for submarine and an ideal candidate for low-cost metro as well as long-haul terrestrial applications.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.545
Threshold uncertainty score0.480

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 head0.234
Teacher spread0.216 · 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

Quick stats

Citations31
Published2002
Admission routes1
Has abstractyes

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