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Record W4415983347 · doi:10.1080/03091929.2025.2565585

Mixing in internal hydraulic jumps with channel width variation

2025· article· en· W4415983347 on OpenAlexafffund
Dylan J. R. Macriner, Kelly Ogden

Bibliographic record

VenueGeophysical & Astrophysical Fluid Dynamics · 2025
Typearticle
Languageen
FieldEngineering
TopicHydraulic flow and structures
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMixing (physics)Channel (broadcasting)Hydraulic jumpVariation (astronomy)Flow (mathematics)

Abstract

fetched live from OpenAlex

Topographic effects on mixing in internal hydraulic jumps in stratified flow over complex geometries are investigated using idealised numerical simulations. The simulation geometry is motivated by flow conditions present in Hood Canal, Washington, with a channel expansion coincident with the sill. Simulation results show that mixing in the domain is typically increased by topographic variation due to vortices generated by an expansion or contraction coincident with the sill that forces the hydraulic jump. However, the associated velocity decrease in expansions counteracts this increase in mixing. Likewise, a contraction with an increased velocity causes more mixing due to the compounding effect of geometry change and velocity increase. Given the results described here, future numerical work investigating more realistic 3D topographies is recommended.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.002
GPT teacher head0.181
Teacher spread0.180 · 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.

Study designSimulation or modeling
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

Citations1
Published2025
Admission routes2
Has abstractyes

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