Record W4235582350 · doi:10.1109/vtc2020-spring48590.2020.9128776

VTC2020-Spring 2020 Committees

2020· article· en· W4235582350 on OpenAlexfundno aff

Bibliographic record

Venuenot available

Typearticle

Languageen

FieldDecision Sciences

TopicAcademic Publishing and Open Access

Canadian institutionsnot available

FundersNational Institute of Information and Communications TechnologyWaterford Institute of TechnologyBahria UniversityInstituto de TelecomunicaçõesDalian Maritime UniversityTokyo Metropolitan UniversityUniversity of Science and Technology BeijingUniversity of the RyukyusChiba UniversityUniversité Paris-SudNational University of Sciences and TechnologyUniversidad de ZaragozaSingapore University of Technology and DesignUniversidad Carlos III de MadridNational Institute of Polar ResearchTechnische Universität IlmenauLebanese American UniversityUniversidade Nova de LisboaUniversity of TorontoUniversidad Politécnica de CartagenaKing Mongkut's Institute of Technology LadkrabangBeijing Institute of TechnologyFriedrich-Alexander-Universität Erlangen-NürnbergUniversité Paris DescartesZhejiang UniversityUniversidade de MacauUniversitat Politècnica de ValènciaShenzhen UniversityUniversità degli Studi di PaviaKing Abdullah University of Science and TechnologyUniversité du LuxembourgUniversità degli Studi di FirenzeUniversità degli Studi di TrentoLinköpings UniversitetQueen's UniversityAalborg UniversitetKyung Hee UniversityPusan National UniversityWaseda UniversityUniversity of BristolUniversity of TwenteUniversitat de ValènciaUniversity of New South WalesUniversidade de AveiroÉcole Polytechnique Fédérale de LausanneUniversity College CorkUniversity of TehranQueen's University BelfastKing's College LondonUniversité du Québec à Trois-RivièresDurham UniversityUniversity of MissouriYork UniversityNorthern Arizona UniversityConcordia UniversityUniversity of Technology SydneyUniversité de LilleTechnische Universiteit DelftDepartment for Enterprise, Trade and Investment, UK GovernmentInstitut national de recherche en informatique et en automatique (INRIA)University of PatrasAmerican University of BeirutDalian University of TechnologyIowa State UniversityNanyang Technological UniversityIran Telecommunication Research CenterPurdue University

KeywordsSpring (device)Computer scienceEngineeringMechanical engineering

DOI10.1109/vtc2020-spring48590.2020.9128776

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)0.019

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 score0.339

Threshold uncertainty score0.943

Distilled classifier scores by category (both heads)

Category	Codex	Gemma
Metaresearch	0.017	0.019
Meta-epidemiology (narrow)	0.001	0.001
Meta-epidemiology (broad)	0.001	0.001
Bibliometrics	0.002	0.001
Science and technology studies	0.003	0.001
Scholarly communication	0.009	0.002
Open science	0.004	0.004
Research integrity	0.008	0.004
Insufficient payload (model declined to judge)	0.339	0.256

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 head0.153

GPT teacher head0.403

Teacher spread0.251 · 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