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Record W4210244321 · doi:10.1109/mass.2012.6502561

Table of contents

2012· article· en· W4210244321 on OpenAlexfundno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicBluetooth and Wireless Communication Technologies
Canadian institutionsnot available
FundersUniversity of Illinois at Urbana-ChampaignNational Institute of InformaticsUniversity of California, Los AngelesSingapore University of Technology and DesignHong Kong University of Science and TechnologyShanghai Jiao Tong UniversityHong Kong Polytechnic UniversityGwangju Institute of Science and TechnologyRWTH Aachen UniversityHongik UniversityNational University of Ireland, MaynoothNational University of IrelandAzusa Pacific UniversityCarnegie Mellon UniversityIowa State UniversityUniversity of OttawaRice UniversityOhio State UniversityUniversity of Texas at AustinLehigh UniversityTartu ÜlikoolTsinghua UniversityWichita State UniversityUniversity of CincinnatiUniversity of PittsburghRijksuniversiteit GroningenCleveland State UniversityTemple UniversityTechnische Universität BraunschweigVanderbilt UniversityCentral South UniversityUniversity of Texas at ArlingtonNanjing UniversityUniversity of South CarolinaIndian National Science AcademyInstitut National des Sciences Appliquées de LyonPurdue UniversityBrigham Young UniversityUniversity of Pennsylvania
KeywordsComputer scienceTable (database)Database

Abstract

fetched live from OpenAlex

on Mobile Ad hoc and Sensor

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 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 score0.559
Threshold uncertainty score0.798

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.005
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.4410.328

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 head0.038
GPT teacher head0.252
Teacher spread0.214 · 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
Published2012
Admission routes1
Has abstractyes

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