MétaCan
Menu
Back to cohort
Record W2085265063 · doi:10.1063/1.3486613

Transmission and reflection of internal wave beams

2010· article· en· W2085265063 on OpenAlexaff
Kate D. Gregory, Bruce Sutherland

Bibliographic record

VenuePhysics of Fluids · 2010
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPhysicsInternal waveStratified flowsBuoyancyOpticsTransmission coefficientTransmission (telecommunications)Stratification (seeds)Beam (structure)Reflection (computer programming)Total internal reflectionStratified flowReflection coefficientPlane waveGravity waveCylinderComputational physicsMechanicsWave propagationTurbulenceGeometryTelecommunications

Abstract

fetched live from OpenAlex

An existing method for predicting the partial transmission of plane internal gravity waves across a weakly stratified region is adapted so as to predict the transmission of internal wave beams having finite horizontal and vertical extent. The results are compared with laboratory experiments in which internal waves generated by an oscillating cylinder are incident upon a mixed region of varying depth and stratification. The results are in good agreement except when the characteristic frequency of the beam is close to the minimum buoyancy frequency of the weakly stratified mixed region. In this case, the predicted transmission coefficient varies rapidly with frequency and so is sensitive to small measurement errors. Applications of this method to atmospheric and oceanic internal waves are discussed.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.218
Teacher spread0.207 · 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 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

Citations16
Published2010
Admission routes1
Has abstractyes

Explore more

Same venuePhysics of FluidsSame topicOceanographic and Atmospheric ProcessesFrench-language works237,207