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Record W4235915783 · doi:10.1109/ted.2014.2349674

IEEE Transactions on Electron Devices publication information

2014· article· en· W4235915783 on OpenAlexaff
A Wang, Peixin Yu, Junior Past, R Todi, Rajeev Jindal, Montejo Camacho, M Celik-Butler, Siew Hwa Chan, Simon Chung, A Deleonibus, F Escobosa, R Guarin, Shujuan Huang, Lakshminarayan M. Iyer, M Lunardi, A. Meyyappan, M. I. Nathan, Mikael Östling, T.-L Radhakrishnan, Saiyu Ren, E Saha, M Sangiorgi, Joshua Shur, D Swart, B Verret, Xu Zhao, Bin Zhao, L Lunardi, Xing Zhou, Colin C. McAndrew, G. Bersuker, Albert Chin, Giovanni Ghione, Shoichiro Ikeda, C. Jagadish, Christoph Jungemann, Veena Misra, Tianhua Ren, Rajendra Singh, Franky So, C. Surya, R.B. True, Amitava Chatterjee, John D. Cressler, Saurabh Sinha, Ralph V. Ford, Karen Bartleson, Jacek M. Żurada, Gary Blank, Ellen J. Yoffa, Dr Prendergast, Thomas Siegert, Business Administration, Elena Gerstmann, Douglas Gorham, Eileen Lach, Shannon Johnston, Donna Hourican, Patrick Mahoney, Peter Tuohy, Margaret Rafferty

Bibliographic record

VenueIEEE Transactions on Electron Devices · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced Semiconductor Detectors and Materials
Canadian institutionsCanadian Standards Association
Fundersnot available
KeywordsComputer scienceElectronOptoelectronicsElectrical engineeringMaterials sciencePhysicsEngineeringNuclear physics

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.702
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.224
Teacher spread0.216 · 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 teacher head, not a consensus.

Study designBench or experimental
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
Published2014
Admission routes1
Has abstractno

Explore more

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