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Record W2003050559

Symposium on International Optoelectronics Association: A forum for international cooperation in optical fibre communications and related technologies

2011· article· en· W2003050559 on OpenAlexaboutno aff
T. P. Pearsall

Bibliographic record

VenueEuropean Conference on Optical Communication · 2011
Typearticle
Languageen
FieldEngineering
TopicAdvanced Optical Network Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsTelecommunicationsThe InternetKey (lock)BroadbandGlobalizationPhotonicsBusinessEngineeringComputer sciencePolitical scienceWorld Wide WebMaterials scienceOptoelectronics
DOInot available

Abstract

fetched live from OpenAlex

Optical fibre communications is a global business. Communications architectures, systems and components are made all over the world, and are being used to build the internet which is an international enterprise. Competition, whether in research, development or commercial exploitation, is also international. Networking on an international scale is a necessity to stay synchronized with key market developments and roadmaps for the future. The International Optoelectronics Association is a grouping of 10 photonics industry associations located in Asia, North America and Europe, forming a platform for international cooperation. These are: Canadian Photonics Consortium, EPIC, KAPID, OIDA, OITDA, Optech-Net Deutschland, PIDA, SOA, and SwissLaserNet. The IOA is responding to the globalization of the internet by coordinating its roadmapping activities to give a comprehensive overview of photonic technology developments in key areas: optical communications, displays, solid-state lighting, photovoltaics, lasers and sensors. In this symposium, IOA member organizations will present an overview of broadband internet and fibre-to-the-home.

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)0.006
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.036
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0080.004
Open science0.0010.003
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0360.016

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 head0.028
GPT teacher head0.254
Teacher spread0.226 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2011
Admission routes1
Has abstractyes

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