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Record W4416876002 · doi:10.37665/smcarua40603

Embedding Ceramic Thick-Film Resistors and Capacitors in Printed Circuit Boards

2003· article· W4416876002 on OpenAlex
Richard Snogren

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSMTA International · 2003
Typearticle
Language
FieldEngineering
TopicElectrical and Thermal Properties of Materials
Canadian institutionsToronto East General Hospital
Fundersnot available
KeywordsResistorPrinted circuit boardCapacitorEmbeddingCeramic capacitorElectrical impedanceCeramicElectronic component

Abstract

fetched live from OpenAlex

ABSTRACT This paper presents an emerging technology for embedding ceramic thick-film resistors and capacitors directly into printed circuit boards. Their use frees up surface real estate allowing for smaller boards or for more silicon on the board. They also lower inductance, impedance and radiated emissions. In the past, the technology has been very limited due to lack of component values, performance and availability of commercial materials. These issues, however, are being eliminated and embedded passives are emerging as a feasible technology. The ceramic thick-film materials are robust and available in a wide range of values. Materials, processes and design guidelines are given. Drivers are performance, miniaturization, and cost.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.285
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0020.000

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 head0.015
GPT teacher head0.226
Teacher spread0.210 · 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