Record W4286813292 · doi:10.1109/vtcspring.2019.8746324

Technical Program Committee Members

2019· article· en· W4286813292 on OpenAlexfundno aff

Bibliographic record

Venuenot available

Typearticle

Languageen

FieldSocial Sciences

TopicEarthquake and Disaster Impact Studies

Canadian institutionsnot available

FundersUniversity of Illinois at Urbana-ChampaignInstituto de TelecomunicaçõesUniversität RostockUniversity of the RyukyusTechnische Universität IlmenauAkademia Górniczo-Hutnicza im. Stanislawa StaszicaUniversiteit AntwerpenUniversità di PisaUniversité Paris-SudNational University of Sciences and TechnologyNational Cheng Kung UniversityRWTH Aachen UniversitySingapore University of Technology and DesignNational Taiwan UniversityNational Chiao Tung UniversityNational and Kapodistrian University of AthensNational Council for Scientific ResearchKing Mongkut's Institute of Technology LadkrabangBeijing Institute of TechnologyUniversitat Politècnica de ValènciaNational Technical University of AthensShenzhen UniversityUniversità degli Studi di PaviaWaseda UniversityKing Abdullah University of Science and TechnologyUniversity of Hong KongWaterford Institute of TechnologyUniversità degli Studi di PadovaChung-Ang UniversityHarbin Engineering UniversityUniversidade de MacauFujitsuUniversity of South CarolinaQueen's UniversityTechnische Universität DarmstadtQatar UniversityUniversità degli Studi di TrentoShanghai Educational Development FoundationChang'an UniversityChiba UniversityUniversité Mohammed V de RabatLiverpool John Moores UniversityBeijing University of Posts and TelecommunicationsKorea UniversityUniversity of Southern CaliforniaYonsei UniversityUniversitat de les Illes BalearsUniversitat de ValènciaDeutsches Zentrum für Luft- und RaumfahrtUniversity of SheffieldThompson Rivers UniversityUniversity of BristolFukuoka UniversityZhejiang UniversityAalto-YliopistoNational Institute of Standards and TechnologyDePaul UniversityTechnische Universiteit DelftDepartment for Enterprise, Trade and Investment, UK GovernmentGeorge Mason UniversityZhejiang University of TechnologyUniversité du LuxembourgUniversità degli Studi di MilanoMississippi State UniversityQueen's University BelfastOhio State UniversityČeské Vysoké Učení Technické v PrazeUniversity of South DakotaNew Mexico State UniversitySoutheast UniversityKungliga Tekniska HögskolanIstanbul Teknik ÜniversitesiUniversità degli Studi Mediterranea di Reggio CalabriaQueen Mary University of LondonChonbuk National UniversityUniversidade de AveiroPolitechnika PoznańskaKeio UniversityKyung Hee UniversityTsinghua UniversityUniversity of Technology SydneyUniversity of Alberta

KeywordsComputer science

DOI10.1109/vtcspring.2019.8746324

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)0.017

metaresearch head score (Gemma)0.016

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 score0.584

Threshold uncertainty score0.833

Distilled classifier scores by category (both heads)

Category	Codex	Gemma
Metaresearch	0.017	0.016
Meta-epidemiology (narrow)	0.001	0.001
Meta-epidemiology (broad)	0.001	0.001
Bibliometrics	0.003	0.002
Science and technology studies	0.004	0.001
Scholarly communication	0.006	0.002
Open science	0.002	0.004
Research integrity	0.004	0.003
Insufficient payload (model declined to judge)	0.416	0.378

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 head0.027

GPT teacher head0.349

Teacher spread0.322 · 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