MétaCan
Menu
Back to cohort
Record W4245416987 · doi:10.1002/net.20119

Fault‐tolerant routings with minimum optical index

2006· article· en· W4245416987 on OpenAlexaff
Jeffrey H. Dinitz, Alan C. H. Ling, Douglas R. Stinson

Bibliographic record

VenueNetworks · 2006
Typearticle
Languageen
FieldEngineering
Topicgraph theory and CDMA systems
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsComputer scienceFault toleranceGraphConstruct (python library)Context (archaeology)Directed graphProperty (philosophy)MathematicsCombinatoricsAlgorithmTheoretical computer scienceDistributed computingComputer network

Abstract

fetched live from OpenAlex

Abstract We construct sets of routings in the complete directed graph $\vec{K}_n$ that tolerate up to f failures of nodes or links. These routings are optimal with respect to several desirable criteria. In addition, our routings have minimum (or close to minimum) possible optical indices, which means that wavelengths can be assigned to the directed paths in the routings in an efficient manner. This property is useful in the context of optical networks. © 2006 Wiley Periodicals, Inc. NETWORKS, Vol. 48(1), 47–55 2006

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
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 score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.002
GPT teacher head0.152
Teacher spread0.150 · 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 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
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueNetworksSame topicgraph theory and CDMA systemsFrench-language works237,207