MétaCan
Menu
Back to cohort
Record W2044202010 · doi:10.1029/2004gl021532

Can near‐inertial internal waves in the East Sea be observed by synthetic aperture radar?

2005· article· en· W2044202010 on OpenAlexaff
Duk‐jin Kim, SungHyun Nam, Hyoung Rok Kim, Wooil M. Moon, Kuh Kim

Bibliographic record

VenueGeophysical Research Letters · 2005
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsSynthetic aperture radarInternal waveGeologyPeninsulaRadarWavelengthGeodesyInertial frame of referenceInertial waveRemote sensingGeophysicsWave propagationPhysicsOpticsMechanical waveOceanographyLongitudinal waveGeography

Abstract

fetched live from OpenAlex

Near‐inertial (∼18 hours) internal waves were observed in the mid‐western part of the East Sea on May 18 and 19, 2004 using C‐band Synthetic Aperture Radar (SAR) images. Current and temperature measurements obtained during the field experiment from 10 May to 9 June 2004 (IWXES2004, Internal Wave eXperiment in the East Sea), were analyzed to investigate the processes by which near‐inertial internal waves can be seen in SAR images and how they progress. The spatial distributions of horizontal wavelength and phase speed estimated from two successively acquired SAR images are consistent with those inferred from water temperature and current measurements carried out during the field experiment. Based on these two independent observations (SAR and IWXES2004), we report a strong possibility that the observed wave patterns in the SAR images during IWXES2004 are near‐inertial internal waves propagating westward off the east coast of the Korean peninsula with a phase speed of about 0.3 m/s.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.029
GPT teacher head0.252
Teacher spread0.223 · 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 designObservational
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

Citations21
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueGeophysical Research LettersSame topicOceanographic and Atmospheric ProcessesFrench-language works237,207