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Record W7020765555

Measurement of particle dynamics in a coherent acoustic field

2013· article· en· W7020765555 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch Repository (Delft University of Technology) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Political Issues
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsParticle (ecology)Tracking (education)Field (mathematics)Magnetosphere particle motionMeasure (data warehouse)Particle tracking velocimetryParticle velocityMotion (physics)
DOInot available

Abstract

fetched live from OpenAlex

A variety of forces can be used to separate fine particles from water in industrial processes. A coherent standing acoustic field can apply a pressure difference across a small particle such that the particle is forced to nodes or anti-nodes in the field depending of particle/liquid properties. The motion of an individual particle is the result of the balance of forces on the particle which can include particle-to-particle interactions. This study develops a method to measure individual particle motion using a particle tracking velocimetry (PTV) approach. This method is used to investigate the effects of particle loading in an acoustic field and is used to test the current theory which only addresses single particle motion. The paper focuses on the application and validation of a PTV-based experiential measurement technique used to determine the forces applied on individual particles.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.050
GPT teacher head0.328
Teacher spread0.278 · 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