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Record W4220884151 · doi:10.1109/jssc.2022.3155915

IEEE Journal of Solid-State Circuits

2022· article· nl· W4220884151 on OpenAlexaff
J. L. Long, Emre Ayranci, T.S. Fiez, A Greenberg, A Stmicroelectronics, Ippei FUJIMORI, D Griffith, Viviana De, Roland Müller, C Kim, Makoto Ikeda, K Panasonic, Fidelma O’Mahony, Esther Rodriguez–Villegas, Farhana Sheikh, Makoto Nagata, Hoi‐Jun Yoo, Woogeun Rhee, James Corcoran, Keysight Technologies, Alvin L. S. Loke, Daniel J. Friedman, Shanthi Pavan, Karen S. Wilcox, Kumar Pavan, P. Andreani, Marvin G. Chang, Wing‐Hung Ki, Jae-Hwan Kim, Pui‐In Mak, Arun Natarajan, Kenichi Okada, H Pan, Patrick Reynaert, David Stoppa, Dennis Sylvester, Nick Van Helleputte, K Liu, Saifur Rahman, John Walz, Ellen Randall, Kathy Land, Stephen Phillips, Educational Activities, Lawrence J. Hall, David Koehler, James Matthews, Standards Association, Bruno Meyer, Deborah Cooper, Franco Maloberti, Stephen Welby, Chris Brantley, Karen Hawkins, Steven Heffner, Donna Hourican, Cecelia Jankowski, Geographic Activities, Konstantinos Karachalios, Ieee-Standards Association, Jamie Moesch, Sophia Muirhead, Thomas Siegert, Mary Ward-Callan

Bibliographic record

VenueIEEE Journal of Solid-State Circuits · 2022
Typearticle
Languagenl
FieldEngineering
TopicFerroelectric and Negative Capacitance Devices
Canadian institutionsUniversity of TorontoUniversity of Waterloo
Fundersnot available
KeywordsSolid-stateElectronic circuitState (computer science)Computer scienceElectrical engineeringMaterials scienceEngineering physicsEngineeringAlgorithm

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)0.001
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 score0.964
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0360.013

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 head0.024
GPT teacher head0.261
Teacher spread0.237 · 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

Citations5
Published2022
Admission routes1
Has abstractno

Explore more

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