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Record W4248895426 · doi:10.1109/cns.2013.6682677

Table of contents

2013· article· en· W4248895426 on OpenAlexfundno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicBluetooth and Wireless Communication Technologies
Canadian institutionsnot available
FundersUniversity at BuffaloNational Taiwan University of Science and TechnologyOulun YliopistoNational Chiao Tung UniversityAir Force Research LaboratoryNational Institute of Standards and TechnologyUniversity of Electronic Science and Technology of ChinaChina Southern Power GridUniversity of Illinois at Urbana-ChampaignUniversità degli Studi di Roma Tor VergataNational Taiwan UniversityUniversity of British ColumbiaTsinghua UniversityNational Science FoundationBar-Ilan UniversityUniversity of Massachusetts AmherstUniversity College CorkTélécom ParisAalto-YliopistoIowa State UniversityUniversity of North Carolina at CharlotteUniversité du LuxembourgShanghai Educational Development FoundationArizona State UniversitySaint Joseph UniversityUniversity of PennsylvaniaUniversity of Texas at San AntonioQatar FoundationJames Madison UniversityKungliga Tekniska HögskolanYunnan Power Grid CompanyJohns Hopkins UniversityUniversidade de VigoTechnische Universiteit DelftUniversità di PisaGeorgia Institute of TechnologyPurdue UniversityUniversity of WaterlooIndiana University-Purdue University IndianapolisUniversità degli Studi di Napoli Federico IIGeorge Mason University
KeywordsTable (database)Computer scienceDatabase

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.164
Threshold uncertainty score0.235

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.8360.792

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 head0.022
GPT teacher head0.222
Teacher spread0.200 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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".

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Citations0
Published2013
Admission routes1
Has abstractno

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