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Record W2124115105 · doi:10.1109/ias.1995.530436

High divider ratio fast response capacitive dividers for high voltage pulse measurements

2002· article· en· W2124115105 on OpenAlexaff
Shesha Jayaram, Xiaoyang Xu, J.D. Cross

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Electrical Measurement Techniques
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsVoltage dividerCapacitanceCapacitorMaterials scienceCapacitive sensingWaferFrequency dividerElectrical engineeringVoltageOptoelectronicsCurrent dividerHigh voltageSiliconDivision (mathematics)EngineeringCMOSPhysicsElectrode

Abstract

fetched live from OpenAlex

The paper reports the experimental results of the development of a novel capacitive divider for high voltage pulse measurements. The low voltage arm capacitor was prepared by thermally growing silicon oxide on commercially available silicon wafers to form capacitors of very large capacitance per unit area (>10 nF with 2 /spl mu/m oxide thickness on a 30 mm diameter wafer). With the proposed design for LV arm capacitance, divider ratios of the order >10000 can easily be obtained. Further studies have been carried out to improve the response time of this high division ratio divider.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.044
GPT teacher head0.242
Teacher spread0.197 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
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

Citations13
Published2002
Admission routes1
Has abstractyes

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