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Record W2137987150 · doi:10.1109/ultsym.1996.584138

Novel PZT films for ultrasound biomicroscopy

2002· article· en· W2137987150 on OpenAlexaff
M. Lukács, M. Sayer, D.A. Knapik, R. Candela, F. Stuart Foster

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicUltrasonics and Acoustic Wave Propagation
Canadian institutionsSunnybrook Health Science CentreHealth Sciences CentreQueen's University
Fundersnot available
KeywordsMaterials scienceLead zirconate titanateCeramicSubstrate (aquarium)TransducerDielectricUltrasonic sensorLayer (electronics)Composite materialEpoxyElectrical impedanceOptoelectronicsAcousticsFerroelectricityElectrical engineering

Abstract

fetched live from OpenAlex

Lead zirconate titanate (PZT) ceramic films of thickness 5-200 /spl mu/m have been produced on various substrates using a modified sol gel process. A subset of these films (5-27 /spl mu/m) open the possibility of fabricating ceramic ultrasound transducers in the frequency range of 80-200 MHz. The technique involves mixing PZT powder conventional PZT sol gel to form a paint which is then coated onto a flat substrate. Initial characterization has included the dielectric and impedance response of the PZT film supported by a metal substrate. The films resonate within the desired frequency range, but the substrate is not conducive for ultrasonic transducers. A technique has been developed to mount the PZT onto conductive silver epoxy using 80 /spl mu/m aluminum foil as a sacrificial layer. The pulse echo response of this structure demonstrates the broadband response required for ultrasound imaging transducers.

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.017
GPT teacher head0.206
Teacher spread0.189 · 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
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

Citations10
Published2002
Admission routes1
Has abstractyes

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