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Record W2014043378 · doi:10.1109/tit.2013.2241391

Wavelength Isolation Sequence Design

2013· article· en· W2014043378 on OpenAlexaff
Jonathan Jedwab, M. D. Strange

Bibliographic record

VenueIEEE Transactions on Information Theory · 2013
Typearticle
Languageen
FieldEngineering
Topicgraph theory and CDMA systems
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsBinary Golay codeGolomb codingSpectrometerComplementary sequencesBinary numberSequence (biology)WavelengthAlgorithmPseudorandom binary sequenceMathematicsComputer scienceOpticsPhysicsArithmeticDiscrete mathematicsArtificial intelligenceChemistry

Abstract

fetched live from OpenAlex

A recent paper by Jedwab and Wodlinger renewed interest in a problem of multislit spectrometer design first proposed by Golay in 1951 but subsequently forgotten. It is shown that Golay's formulation of the problem in terms of 0/1 binary sequences is unduly restrictive. By relaxing the restrictions, infinitely many spectrometer designs satisfying all the original physical criteria can be found. Three constructions for such spectrometer designs are presented, involving Golomb rulers and variants. These constructions explain all nontrivial examples involving at most 26 slits.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.013
GPT teacher head0.193
Teacher spread0.179 · 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 designTheoretical or conceptual
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

Citations1
Published2013
Admission routes1
Has abstractyes

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