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Record W2009480468 · doi:10.1063/1.4756042

Comment on “Broadening of metal-oxide-semiconductor admittance characteristics: Measurement, sources, and its effects on interface state density analyses” [J. Appl. Phys. 110, 114115 (2011)]

2012· article· en· W2009480468 on OpenAlexaff
A. F. Basile, P. M. Mooney

Bibliographic record

VenueJournal of Applied Physics · 2012
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCapacitanceAdmittanceCapacitorSemiconductorCondensed matter physicsMaterials scienceOxideChemistryComputational physicsAnalytical Chemistry (journal)VoltageAtomic physicsOptoelectronicsPhysicsElectrodePhysical chemistryQuantum mechanicsElectrical impedance

Abstract

fetched live from OpenAlex

Low-temperature capacitance-voltage (C-V) characteristics of n-type In0.53Ga0.47As metal-oxide-semiconductor (MOS) capacitors, presented by Paterson et al. [J. Appl. Phys. 110, 114115 (2011)], are modeled by analytical and numerical calculations of the capacitance taking into account the slow response of neutral donors and interface traps to the measurement test signal. This model provides an explanation for the absence of the dip near flat band in the high frequency C-V characteristics, contrary to the prediction based on the ideal MOS capacitance. These calculations also show that a broad energy distribution of interface-traps can explain the broadening of the C-V curve.

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 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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.041
GPT teacher head0.263
Teacher spread0.222 · 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

Citations2
Published2012
Admission routes1
Has abstractyes

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