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Record W1989142635 · doi:10.1063/1.1287652

Conjugate flows for a three-layer fluid

2000· article· en· W1989142635 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePhysics of Fluids · 2000
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Vibration Analysis
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsConjugatePhysicsStratified flowPycnoclineThin layerMode (computer interface)Flow (mathematics)MechanicsLayer (electronics)Mathematical analysisMathematicsTurbulenceGeologyMaterials science

Abstract

fetched live from OpenAlex

A method for computing conjugate flows for a non-Boussinesq, three-layer fluid with arbitrary constant currents is developed. The general solution for a two-layer fluid is obtained as a special case. Symmetric stratifications at rest, with the upper and lower layer depths equal to h and identical density jumps across each interface, are considered in detail using the Boussinesq approximation. Mode-1 conjugate flows exist for h<hc1. A symmetric mode-2 conjugate flow exists for all values of h, however for h>hc2>hc1 two additional asymmetric solutions exist. Comparisons with solutions for continuous stratifications with thin pycnoclines are made. Mode-2 solutions are more sensitive to the width of the pycnocline than are mode-1 solutions. Comparisons between three-layer non-Boussinesq and Boussinesq solutions are also made. For a total density variation of 4% of the mean value the two solutions are similar. For larger density variations the mode-2 solutions can be significantly different.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.505
Threshold uncertainty score0.513

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 head0.014
GPT teacher head0.228
Teacher spread0.214 · 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