MétaCan
Menu
Back to cohort
Record W4401112555 · doi:10.1038/s43247-024-01577-3

Disruptions in thermohaline staircases caused by subsurface mesoscale eddies in the eastern Caribbean Sea

2024· article· en· W4401112555 on OpenAlexaff
Shun Yang, Kun Zhang, Haibin Song, Barry Ruddick, Mengli Liu, Linghan Meng

Bibliographic record

VenueCommunications Earth & Environment · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsDalhousie University
FundersNational Natural Science Foundation of China
KeywordsThermohaline circulationMesoscale meteorologyOceanographyGeologyEddyClimatologyGeographyMeteorologyTurbulence

Abstract

fetched live from OpenAlex

Thermohaline staircases and mesoscale eddies play crucial roles in the transport of heat, salt, and nutrients in the ocean, yet their complex relationship remains unclear due to the limitations in observational resolution and lateral range. Here, utilizing high spatial resolution seismic images with a total length of 2518 km, we show the widespread occurrence of thermohaline staircases in the eastern Caribbean Sea and demonstrate their three-dimensional distribution. These staircases occupy about 70% of the total length of the seismic lines, with the remaining 30% occupied by six subsurface mesoscale eddies. These staircases are disrupted and interrupted due to the enhanced turbulent diffusivity driven by the vertical shear of these eddies. The numerous high-resolution seismic observations presented herein enhance our comprehension of the interplay between staircases and multiscale oceanic dynamical processes. A large patch of thermohaline staircases in the eastern Caribbean Sea is disrupted by vertical shear associated with subsurface mesoscale eddies, according to analysis of thermohaline staircases and their three-dimensional distribution using high-resolution active acoustic reflection data.

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 score0.248
Threshold uncertainty score0.598

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.020
GPT teacher head0.233
Teacher spread0.214 · 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

Citations5
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCommunications Earth & EnvironmentSame topicOceanographic and Atmospheric ProcessesFrench-language works237,207