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Record W4239767255 · doi:10.1109/tac.2018.2853858

IEEE Transactions on Multimedia

2018· article· en· W4239767255 on OpenAlexaff
George S. Axelby, Alessandro Astolfi, Denis Dochain, Alessandro Giua, Tetsuya Iwasaki, Harry L. Trentelman, Mazen Alamir, Paolo Bolzern, Giuseppe C. Calafiore, M. Kanat Camlibel, U Federico, Santa Maria, Cl De Schutter, Francis Fagnani, Leonid B. Freidovich, Antoine Girard, K Kashima, Christopher M. Kellett, Y Le Gorrec Femto-St, Fr Lin, Roland P. Malhamé, Frédéric Mazenc, Gianluigi Pillonetto, D. Regruto, Samer S. Saab, C Scherer, Y. Greg Song, Yuanzheng Paul Tan, Sophie Tarbouriech, Fabian Wirth, Fan Zhang, Zhang Li, Wang Zheng, James Jefferies, José dos Reis Vieira de Moura, William R. Walsh, Joseph Lillie, Karen Bartleson, Witold Kinsner, M El-Ghazaly, Forrest Don, G. F. Wright, Kathy Land, Sandra Candy, Susan Robinson, Renuka Jindal, Vijay K. Bhargava, Jennifer T. Bernhard, John Walz, John Hung, Meyer V Bruno C, Alex Acero, Toshio Fukuda, Thomas Siegert, Business Administration, Julie Cozin, Corporate Governance, Donna Hourican, Jamie Moesch, Educational Activities, Jack Bailey, Cherif Amirat, Karen Hawkins, Cecelia Jankowski, Geographic Activities, Michael Förster, Konstantinos Karachalios, Standards Association, Mary Ward-Callan, Stephen Welby

Bibliographic record

VenueIEEE Transactions on Automatic Control · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMultimedia Communication and Technology
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsComputer scienceMultimedia

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.926
Threshold uncertainty score0.246

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0740.024

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 head0.024
GPT teacher head0.307
Teacher spread0.284 · 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
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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractno

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