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Record W4405649272 · doi:10.5802/crphys.213

Eddy-driven Zonal Jet Flows in the Laboratory

2024· article· en· W4405649272 on OpenAlexafffund
Peter Read, Yakov D. Afanasyev, J. M. Aurnou, Daphné Lemasquerier

Bibliographic record

VenueComptes Rendus Physique · 2024
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsMemorial University of Newfoundland
FundersEngineering and Physical Sciences Research CouncilNatural Sciences and Engineering Research Council of CanadaUK Research and InnovationNational Science Foundation
KeywordsJet (fluid)MechanicsGeologyPhysicsGeophysicsAerospace engineeringMeteorologyEngineering

Abstract

fetched live from OpenAlex

Zonal jets are a ubiquitous feature of the circulation of planetary atmospheres, oceans and interiors. Many of the dynamical mechanisms that lead to the formation and evolution of such jets can be reproduced and studied in laboratory experiments, which have proved to be important sources of insight for understanding the nature of planetary jets. Here we introduce some of the key concepts underlying the production and maintenance of patterns of zonal jets in rotating and/or stratified flows. We then review a broad range of laboratory experiments that have helped to test and verify many of the dynamical mechanisms proposed to interpret geophysical jets involving the interaction of eddies and zonal flows. Laboratory experiments continue to have an important role to play in elucidating a quantitative understanding of zonal jets and their interactions with other aspects of planetary circulation systems.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.213
Teacher spread0.205 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2024
Admission routes2
Has abstractyes

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