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Record W6945706357 · doi:10.26025/1912/24792

Observations of turbulence and the geometry and circulation of windrows in a small bay in the St. Lawrence Estuary.

2019· dataset· en· W6945706357 on OpenAlexaff

Bibliographic record

VenueOpen Access Server of the Woods Hole Scientific Community (Woods Hole Scientific Community) · 2019
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversité du Québec à Rimouski
Fundersnot available
KeywordsDrifterAcoustic Doppler current profilerTurbulence kinetic energyTurbulenceDissipationBayBackscatter (email)Circulation (fluid dynamics)Doppler effectKinetic energy

Abstract

fetched live from OpenAlex

Measurements of ocean turbulence, waves, and the geometry and circulation of windrows were made over 5 days in early March in a small bay in the St. Lawrence Estuary. Measurements were made from a small zodiac and from a SWIFT drifter. Two acoustic doppler velocity profilers (ADCPs) were used from the zodiac to measure water velocity and turbulent kinetic energy (TKE) dissipation rates near the surface. The acoustic backscatter from the ADCPs was used in conjunction with a GPS to map the location and spacing of wind aligned rows of bubbles. The SWIFT drifter provided measurements of waves, wind stress, and secondary measurements of TKE dissipation rates. Imagery of the surface was taken with a GoPro camera mounted on the zodiac, and with a DJI MavicPro quadcopter.

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)0.057
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity
Consensus categoriesScience and technology studies, Open science
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.593
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0570.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0030.019
Science and technology studies0.0050.015
Scholarly communication0.0060.004
Open science0.0460.037
Research integrity0.0010.007
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 head0.162
GPT teacher head0.356
Teacher spread0.194 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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