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Record W2083421060 · doi:10.1029/2004gl020143

How islands stir and fertilize the upper ocean

2004· article· en· W2083421060 on OpenAlexaff
Daisuke Hasegawa, Hidekatsu Yamazaki, Rolf G. Lueck, Laurent Seuront

Bibliographic record

VenueGeophysical Research Letters · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsOcean Networks Canada SocietyUniversity of Victoria
Fundersnot available
KeywordsIsopycnalGeologyUpwellingShoalOceanographyRidgeWakeCrestInternal waveAtmospheric sciencesPhysicsMechanicsPaleontology

Abstract

fetched live from OpenAlex

Large differences between the upstream and lee side flow characteristics of an isolated island in the Kuroshio have been identified from a three‐dimensional velocity survey and from vertical profiles of fine‐ and micro‐structure. In the island wake, the relative vorticity is O (10 f ), the horizontal current divergence indicates upwelling of O (0.01 m s −1 ), and the rate of dissipation of kinetic energy is O (10 −4 W kg −1 ). Isopycnal surfaces shoal by 60 m on the lee side and surface nitrate concentration increases seven‐fold. Flow blockage by the island and the Izu‐Ogasawara Ridge on its flanks, induces horizontal and vertical flow separation. The associated lateral and vertical shear drive the upwelling and the vertical mixing in the wake and produces a very pronounced “island mass effect.”

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.221
Threshold uncertainty score0.353

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 studies0.0000.001
Scholarly communication0.0000.000
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 head0.021
GPT teacher head0.252
Teacher spread0.230 · 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.

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

Citations101
Published2004
Admission routes1
Has abstractyes

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