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Record W4206204794 · doi:10.1109/spawc.2013.6611998

Program

2013· article· en· W4206204794 on OpenAlexfundno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicCognitive Radio Networks and Spectrum Sensing
Canadian institutionsnot available
FundersInstituto de TelecomunicaçõesUniversidade da CoruñaUniversität KasselNational Institute of InformaticsUniversidade Lusófona de Humanidades e TecnologiasUniversitat Autònoma de BarcelonaUniversität Duisburg-EssenUniversità di PisaKorea Advanced Institute of Science and TechnologyLeibniz-GemeinschaftUniversité de Technologie de TroyesSingapore University of Technology and DesignUniversidade do PortoUniversidad de CantabriaUniversidade Estadual de CampinasUniversidad Carlos III de MadridTechnion-Israel Institute of TechnologyHong Kong University of Science and TechnologyUniversity at BuffaloNational Chiao Tung UniversityChinese University of Hong KongUppsala UniversitetAalto-YliopistoZhejiang UniversityCentre National de la Recherche ScientifiqueUniversity of MelbourneKungliga Tekniska HögskolanKing Abdullah University of Science and TechnologyUniversity of New South WalesJinan UniversityConcordia UniversityNational and Kapodistrian University of AthensTechnische Universität MünchenChinese Academy of SciencesUniversity of Science and Technology of ChinaTechnische Universiteit DelftNational University of Defense TechnologyAustralian National UniversityXidian UniversityUniversity of South AustraliaUniversity of WollongongNational Taiwan UniversityUniversity of CreteUniversity of TorontoUniversitat Politècnica de CatalunyaGeorgia Institute of TechnologyTechnische Universität DresdenUniversity of PennsylvaniaÉcole Polytechnique Fédérale de LausannePrinceton UniversityRutgers, The State University of New JerseyUniversity of PatrasCommonwealth Scientific and Industrial Research OrganisationMassachusetts Institute of TechnologyPosts and Telecommunications Institute of TechnologyShanghai Educational Development FoundationUniversity of Ontario Institute of TechnologyWorcester Polytechnic InstituteEcole Supérieure des Communications de TunisMcMaster UniversityUniversity of California, Los AngelesUniversité du LuxembourgConservatoire National des Arts et MétiersUniversität BremenIndian Institute of ScienceKeio UniversityFriedrich-Alexander-Universität Erlangen-NürnbergSyracuse UniversityAmerican University in CairoTechnische Universität BerlinUniversity of TwenteUniversity of Notre DameAlexandria UniversityUniversidad Rey Juan CarlosUniversity of CyprusJacobs UniversityKingston UniversityUniversidade Nova de LisboaIndian Institute of Technology MadrasTechnische Universität DarmstadtQatar UniversityBar-Ilan UniversityUniversity of Minnesota
KeywordsComputer science

Abstract

fetched live from OpenAlex

The following topics are dealt with: signal processing; wireless communication; resource allocation; relay communication; cognitive radio; distributed processing; adaptive networks; collaborative sensing; sparse signal recovery; telecommunication security; interference mitigation; beamforming; cooperative sensor networks; MIMO communications; multiuser communications; OFDM systems; physical layer security; and synchronization.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.308
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0030.002
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.6920.427

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 head0.010
GPT teacher head0.231
Teacher spread0.221 · 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.

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
Published2013
Admission routes1
Has abstractyes

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