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Record W2558939610 · doi:10.1134/s1028334x16110076

Spectral characteristics of mesoscale variability of the bottom currents in the Ocean

2016· article· en· W2558939610 on OpenAlexaboutno aff
Е. Г. Морозов, V. G. Neiman

Bibliographic record

VenueDoklady Earth Sciences · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsnot available
FundersRussian Academy of Sciences
KeywordsMesoscale meteorologyGeologyAtmosphere (unit)Spectral lineRange (aeronautics)Atmospheric pressureCurrent (fluid)ClimatologyAtmospheric sciencesOcean currentOcean bottomPeriod (music)OceanographyGeophysicsMeteorologySeismologyPhysicsMaterials science

Abstract

fetched live from OpenAlex

We performed spectral analysis of variations in the bottom currents on the basis of direct measurements in a number of regions of the entire Atlantic Ocean. We compared the spectra of the atmospheric pressure fluctuations at sea level and fluctuations of current velocities in the bottom layer. A significant energy of current fluctuations near the bottom with a synoptic period in the range 10–15 days that exceeds similar energies in the other regions of the ocean was found in the region of the Newfoundland energetically active zone, where increased cyclonic activity in the atmosphere is observed.

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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.212
Teacher spread0.200 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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