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Record W4242986153 · doi:10.1109/ccta.2019.8920422

CCTA 2019 Front Matter

2019· article· en· W4242986153 on OpenAlexafffund
Francesco Bullo, Robert R. Bitmead, Maria Annaswamy, Faryar Prandini, Jie Chen, Roy S. Smith, Daniel W. C. Ho, Yunhui Liu, Hong Chen, Xiang Chen, Li‐Chen Fu, Lu Liu, Ming Liu, Graziano Chesi, Wei Xing Zheng, James Lam, Dan Ma, Ling Shi, Yang Shi, Guofeng Zhang, Лей Ма, Claudio Altafini, M M Reza, Amini Prabir, Barooah Jian, C. C. Li, Jingliang Chen, Bryan Eisenhower, Lorenzo Fagiano, Jay A. Farrell, Feng Yu, Andrew J. Fleming, Heath Hofmann, Jonathan P. How, Jyh-Ching Juang, Jinwhan Kim, Ilya Kolmanovsky, Xi Li, Tao Liu, Jianbo Lǚ, Maria Mazzaro, Toru Namerikawa, Tom Oomen, Daniel F. Opila, Eilif Pedersen, Vicenç Puig, Tian Qi, Wei Ren, Anders Robertsson, Luís Rodrigues, Ricardo Sánchez‐Peña, Mario Santillo, Christopher Vermillion, Junmin Wang, Liuping Wang, Yue Wang, Rafal Wisniewski, Lihua Xie, Xin Xin, Bin Yao, Fumin Zhang, Kemin Zhou, Guoming Zhu, Wong Lau, Karl Henrik Johansson

Bibliographic record

Venue2019 IEEE Conference on Control Technology and Applications (CCTA) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEconomic and Technological Developments in Russia
Canadian institutionsUniversity of VictoriaUniversity of Windsor
FundersUniversitat Politècnica de CatalunyaZhejiang University of TechnologyNational Cheng Kung UniversityKorea Advanced Institute of Science and TechnologyZhejiang UniversityKnut och Alice Wallenbergs StiftelseLouisiana State UniversityLunds UniversitetClemson UniversityTechnische Universiteit EindhovenFord Motor CompanyVetenskapsrådetUniversity of California, Santa BarbaraNorth Carolina State UniversityDalian University of TechnologyHuazhong University of Science and TechnologyKeio UniversityNewcastle UniversityU.S. Naval AcademySouth China University of TechnologyPurdue UniversityNorges Teknisk-Naturvitenskapelige UniversitetAalborg UniversitetGeorgia Institute of TechnologyStiftelsen för Strategisk ForskningMassachusetts Institute of TechnologyNanyang Technological UniversityCollege of Engineering, Michigan State UniversityLehigh UniversityRMIT UniversityMichigan State UniversityConcordia University
KeywordsSession (web analytics)ThursdayControl (management)Steering committeeEvent (particle physics)Library scienceDreamOperations researchManagementComputer sciencePolitical scienceEngineering managementEngineeringPsychologyArtificial intelligenceWorld Wide Web

Abstract

fetched live from OpenAlex

Conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover art, table of contents, copyright statements, title-page or half title-pages, blank pages, venue maps or other general information relating to the conference that was part of the original conference proceedings.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.703
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.013

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 head0.012
GPT teacher head0.263
Teacher spread0.250 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2019
Admission routes2
Has abstractyes

Explore more

Same venue2019 IEEE Conference on Control Technology and Applications (CCTA)Same topicEconomic and Technological Developments in RussiaFrench-language works237,207