MétaCan
Menu
Back to cohort

Non-Newtonian Fluid Velocity Profiles Determined with Simple Magnetic Resonance Spin Echoes

2021· article· en· W3191715936 on OpenAlexafffund
Jiangfeng Guo, Michael Ross, Benedict Newling, Bruce J. Balcom

Bibliographic record

VenuePhysical Review Applied · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNMR spectroscopy and applications
Canadian institutionsUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNewtonian fluidSimple (philosophy)Flow (mathematics)MagnetNon-Newtonian fluidSIGNAL (programming language)MechanicsPhysicsNuclear magnetic resonanceRheologyMagnetic fieldFlow velocityVelocity gradientResonance (particle physics)Phase (matter)Spin (aerodynamics)Computer scienceAtomic physicsThermodynamics

Abstract

fetched live from OpenAlex

Traditional MRI flow measurements are complicated and employ sophisticated (and thus expensive) hardware. The authors present a simple, palm-sized magnetic resonance magnet with a permanent field gradient, for measuring velocity profiles of Newtonian or non-Newtonian fluids, which is important for rheological studies. A flow yields characteristic phase shifts and signal-magnitude changes that may be analyzed to quantitatively reconstruct velocity profiles. This method removes complexity and expense with a simple, elegant measurement.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score0.799

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)0.0000.000

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 head0.008
GPT teacher head0.317
Teacher spread0.309 · 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

Citations12
Published2021
Admission routes2
Has abstractyes

Explore more

Same venuePhysical Review AppliedSame topicNMR spectroscopy and applicationsFrench-language works237,207