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M<scp>IXING</scp> E<scp>FFICIENCY IN</scp> S<scp>TRATIFIED</scp> S<scp>HEAR</scp> F<scp>LOWS</scp>

2002· article· en· 417 citations· W2146299840 on OpenAlex· 10.1146/annurev.fluid.35.101101.161144

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Full frame distilled prediction

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.

Candidate categories
Metaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categories
Meta-epidemiology (narrow)
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: Not applicableConsensus signal: Not applicable
Genre
Candidate signal: ReviewConsensus signal: Review
Teacher disagreement score
0.075
Threshold uncertainty score
0.999
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.025
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.006
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0040.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.002

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.014
GPT teacher head0.224
Teacher spread
0.209 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

▪ Abstract The issue of the physical mechanism(s) that control the efficiency with which the density field in stably stratified fluid is mixed by turbulent processes has remained enigmatic. Similarly enigmatic has been an explanation of the numerical value of ∼0.2, which is observed to characterize this efficiency experimentally. We review recent work on the turbulence transition in stratified parallel flows that demonstrates that this value is not only numerically predictable but also that it is expected to be a nonmonotonic function of the Richardson number that characterizes preturbulent stratification strength. This value of the mixing efficiency appears to be characteristic of the late-time behavior of the turbulent flow that develops after an initially laminar shear flow has undergone the transition to turbulence through an intermediate instability of Kelvin-Helmholtz type.

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.

The record

Venue
Annual Review of Fluid Mechanics
Topic
Oceanographic and Atmospheric Processes
Field
Earth and Planetary Sciences
Canadian institutions
University of Toronto
Funders
not available
Keywords
TurbulenceLaminar flowPhysicsInstabilityMechanics
Has abstract in OpenAlex
yes