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Record W1971679921 · doi:10.1080/14634980802098481

Application of a Nested-grid hydrodynamic model for circulation and thermal structure in the coastal boundary layer of Lake Huron

2008· article· en· W1971679921 on OpenAlexaff
Yerubandi R. Rao, Jinyu Sheng

Bibliographic record

VenueAquatic Ecosystem Health & Management · 2008
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsDalhousie UniversityEnvironment and Climate Change Canada
Fundersnot available
KeywordsGeologyShoreGrid systemBayNested set modelCirculation (fluid dynamics)OceanographyHigh resolutionGeorgianBoundary (topology)Boundary layerGridGeodesyRemote sensingMechanics

Abstract

fetched live from OpenAlex

A nested-grid hydrodynamic modeling system is used to study circulation and temperature distributions in Lake Huron and adjacent areas. This nested system is based on a three-dimensional, primitive-equation z-level ocean model. The nested system consists of two sub-components: a coarse-resolution outer model covering Lake Huron and Georgian Bay with a horizontal resolution of roughly 2.5 km, and a fine-resolution inner model covering eastern Lake Huron and northwestern Georgian Bay with a horizontal resolution of roughly 900 m. The inner model produced reasonably well the three-dimensional flow and thermal structure over the coastal boundary layer close to the eastern shore of the lake.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score0.989

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 science0.0000.000
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 head0.013
GPT teacher head0.224
Teacher spread0.210 · 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
Published2008
Admission routes1
Has abstractyes

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