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Record W4243120955 · doi:10.1109/tsmc.2016.2551206

IEEE Transactions on Systems, Man, and Cybernetics publication information

2016· article· en· W4243120955 on OpenAlexaff
Chaomei Chen, Sos С. Agaian, David Akopian, Samir Kumar Bandyopadhyay, A Bargiela, Gautam Biswas, Longbing Cao, M Celenk, Wood Yee Chan, Francisco Chiclana, T.-M Choi, J.-H Chou, Daniel DeLaurentis, Ling Fang, W.A. Gruver, P Guo, Yutaka Hata, Enrique Herrera‐Viedma, Keith W. Hipel, Kaoru Hirota, Kun Huang, L. C. Jain, Adam Janiak, M Jeng, Luhua Lai, Michael Lee, Zhijun Li, Zhiwu Li, Dantong Liu, Yuan Liu, Zhi Liu, Liu Zhong, Vincenzo Loia, Ibtihal Makki, Saeid Nahavandi, Witold Pedrycz, Gregory Provan, Robert C. Qiu, Rodney G. Roberts, K Seow, Wei Shen, Yue Shen, Leonid Sheremetov, Carlos Silvestre, Fuchun Sun, A. Tan, H Tianfield, Mayank Tiwari, S. Y. Tong, Amy J.C. Trappey, Chin‐Chung Tsai, Edward Tunstel, Fei Wang, Alex Wang, Zhiqiang Wang, Quan Wei, K Wolf, Bin Wu, Hulin Wu, Naixue Xiong, Dongda Zhang, MengChu Zhou, Ieee Officers, Barry L. Shoop, Karen Bartleson, Jerry Famouri, Howard Hudgins, Stéphanie Michel, Sheila Ramesh, Wai‐Choong Wong, Bruce Kraemer, José M. F. Moura, Alan Peter, Dr Prendergast, Thomas Siegert, Business Administration, Julie Cozin, Corporate Governance, Donna Hourican, Jamie Moesch, Eileen Lach, Shannon Johnston, Cherif Amirat, Patrick Mahoney, Cecelia Jankowski, Geographic Activities, Michael Forster, Fran Zappulla, Peter Tuohy, William Colacchio, Martin Morahan

Bibliographic record

VenueIEEE Transactions on Systems Man and Cybernetics Systems · 2016
Typearticle
Languageen
FieldEngineering
TopicSmart Grid Security and Resilience
Canadian institutionsCybernet Systems Corporation (Canada)
Fundersnot available
KeywordsCyberneticsComputer scienceCognitive scienceData sciencePsychologyArtificial intelligence

Abstract

fetched live from OpenAlex

The IEEE SYSTEMS, MAN, AND CYBERNETICS Society is an organization within the framework of the IEEE, with professional interest in the closely interrelated fields of man-machine systems, systems science, systems engineering, and cybernetics.All members of the IEEE are eligible for membership in the Society upon payment of the annual Society membership fee of $12.00.Members may receive SMC upon payment of an additional $20.00 ($32.00 total), TCYB upon payment of an additional $22.00 ($34.00 total), and THMS for an additional $16.00 ($28.00 total).Members of certain other professional societies are eligible to become Affiliates of the Society.For information on joining, write to the IEEE at the address below.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.998
Threshold uncertainty score0.829

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.2480.094

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 head0.009
GPT teacher head0.192
Teacher spread0.183 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
DomainReporting
GenreMethods

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
Published2016
Admission routes1
Has abstractyes

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