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Record W4234016912 · doi:10.1109/icems.2019.8921602

ICEMS 2019 Program

2019· article· en· W4234016912 on OpenAlexfundno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldDecision Sciences
TopicAcademic Publishing and Open Access
Canadian institutionsnot available
FundersInstitute of Plasma Physics, Chinese Academy of SciencesState Grid Jiangsu Electric PowerState Grid Tianjin Electric Power CompanyShenyang Institute of AutomationInstitute of Automation, Chinese Academy of SciencesShanghai Institute of Satellite EngineeringCoastal Response Research Center, University of New HampshireHubei UniversityChina Shipbuilding IndustryChina Electric Power Research InstituteState Key Laboratory of Electrical Insulation and Power EquipmentUniversity of Chinese Academy of SciencesState Grid Corporation of ChinaHebei University of TechnologyHefei UniversityTianjin Polytechnic UniversityNortheast Petroleum UniversityShenzhen UniversityLanzhou Jiaotong UniversityUniversity of PeradeniyaState Key Laboratory of Reliability and Intelligence of Electrical EquipmentHuaiyin Institute of TechnologyShanghai Institute of TechnologyNortheast Agricultural UniversityQingdao UniversityJiangxi University of Science and TechnologyYanshan UniversitySoutheast UniversityNanjing UniversityAswan UniversityZhejiang Sci-Tech UniversityTanta UniversityXiangtan UniversityNanjing Institute of TechnologyKunming University of Science and TechnologyNational University of Defense TechnologyYangzhou UniversityHebei UniversityDonghua UniversityAnhui University of TechnologyAnhui University of Science and TechnologyNanjing University of Posts and TelecommunicationsChina Southern Power GridNanjing University of Science and TechnologyBeijing Institute of TechnologyShanghai University of Electric PowerNantong UniversityNorth China University of TechnologyBeijing Jiaotong UniversityShanghai Jiao Tong UniversityTechnische Universität BraunschweigChongqing University of TechnologyUniversidade de MacauUniversity of Shanghai for Science and TechnologyGwangju UniversityNanchang UniversityTianjin UniversityWaseda UniversityHunan UniversityUniversiteit GentYunnan Power Grid CompanyWuhan Business UniversityFriedrich-Alexander-Universität Erlangen-NürnbergTongji UniversityShizuoka UniversityHenan Polytechnic UniversityHarbin Institute of TechnologyHangzhou Dianzi UniversityHarbin Normal UniversityHuazhong University of Science and TechnologyEidgenössische Technische Hochschule ZürichDalian University of TechnologyChina University of Petroleum, BeijingChina Three Gorges UniversityAnhui UniversityHeilongjiang UniversityNorthwestern Polytechnical UniversityJiangsu UniversityUniversity of Nottingham Ningbo ChinaAalborg UniversitetSungkyunkwan UniversityState Key Laboratory of Advanced Electromagnetic Engineering and TechnologyKorea UniversityChalmers Tekniska HögskolaHebei University of Science and TechnologyNanjing University of Aeronautics and AstronauticsKyungsung UniversityZhengzhou University of Light IndustryKorea Polytechnic UniversityChang'an UniversityHanbat National UniversityZhengzhou UniversityDong-A UniversityGlobal Energy Interconnection Research Institute North AmericaShenyang Ligong UniversityRWTH Aachen UniversityÉcole Polytechnique Fédérale de LausanneSouth Dakota School of Mines and TechnologySun Yat-sen UniversityBahria UniversityBeihang UniversityChongqing UniversitySeoul National UniversityUniversity of BristolNorthwestern UniversityUniversity of SydneyUniversity of WollongongNortheast Electric Power UniversityShandong UniversityNanyang Technological UniversityAuckland University of Technology, New ZealandUniversity of Technology SydneyHefei University of TechnologyUniversity of New South WalesSouthwest Jiaotong UniversityDalian Maritime UniversityGovernment of Jiangsu ProvinceChinese Academy of SciencesUniversity of WindsorJeju National UniversityRajshahi UniversityUniversity of SheffieldUniversity of NottinghamHubei Electric Power Research InstituteHubei University of TechnologyUniversity of Engineering and Technology, TaxilaUniversity of Engineering and Technology, LahoreChosun UniversityShanghai DianJi UniversityKungliga Tekniska HögskolanPukyong National UniversityNanjing Normal UniversityLinyi UniversityQufu Normal UniversityGangneung-Wonju National UniversityChina RailwayElectric Power Research InstituteTianjin University of TechnologyMeiji UniversityHeilongjiang University of Science and TechnologyState Key Laboratory of Air-conditioning Equipment and System Energy ConservationCardiff UniversityUniversitetet i AgderPrinceton Center for Complex MaterialsSuan Sunandha Rajabhat UniversityTsinghua UniversityHefei Institutes of Physical Science, Chinese Academy of SciencesQilu University of TechnologySouth China University of TechnologyHarbin University of Science and TechnologyBeijing Orient Institute of Measurement and TestNaval University of EngineeringHuaqiao UniversityHong Kong Polytechnic UniversityMinistry of Trade, Industry and EnergyGyeongsang National UniversityFlorida State UniversityTU Graz, Internationale Beziehungen und MobilitätsprogrammeShandong Academy of SciencesHarbin Engineering UniversityOhio State UniversityZhejiang UniversityJiangnan UniversityTrường Đại học Công nghệ, Đại học Quốc Gia Hà NộiSan Diego State UniversityHoseo UniversityChina University of Mining and TechnologyBudapesti Műszaki és Gazdaságtudományi EgyetemSouthern University of Science and TechnologyZhejiang Wanli UniversityNational Sun Yat-sen UniversityMcGill UniversityUniversidad de SevillaHohai UniversityMonash UniversityBeijing University of TechnologyCity University of Hong KongKorea Electrotechnology Research InstitutePurdue University
KeywordsComputer science

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)0.003
metaresearch head score (Gemma)0.006
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 score0.339
Threshold uncertainty score0.483

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0060.002
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.6610.484

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 head0.076
GPT teacher head0.441
Teacher spread0.366 · 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
Published2019
Admission routes1
Has abstractno

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