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Record W2012792950 · doi:10.1109/ectc.2011.5898552

Techniques for de-embedding a high port count connector to PCB via interposer

2011· article· en· W2012792950 on OpenAlexaff
Yan Ding, Young Kwark, Lei Shan, Christian Baks, Ke Wu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Compatibility and Noise Suppression
Canadian institutionsPolytechnique Montréal
FundersDefense Advanced Research Projects Agency
KeywordsInterposerCable glandEmbeddingCoaxialFabricationMicrowaveElectronic engineeringPort (circuit theory)Electrical conductorRepeatabilityElectrical engineeringScattering parametersComputer scienceMaterials scienceEngineeringTelecommunications

Abstract

fetched live from OpenAlex

In this paper, we propose, design, fabricate and test an interposer that provides a convenient and stable connection between a via-array-type device under test (DUT) and coaxial interface measurement instruments in a frequency band up to 20 GHz. A 3D EM model based de-embedding technique is adopted to remove the influence of the interposer from measurements. The validity and repeatability of the apparatus and de-embedding technique are verified by comparing to microwave probe measurements on individual channels. The impact of misregistration arising from PCB fabrication is analyzed based on the measurements of up to three differential pairs in adjacent layers using a 12 port configuration.

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 categoriesnone
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 score0.132
Threshold uncertainty score0.898

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.239
Teacher spread0.226 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2011
Admission routes1
Has abstractyes

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