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Record W3102318665 · doi:10.1016/j.csr.2020.104299

Rapid reduction of tidal amplitude due to form drag in a narrow channel

2020· article· en· W3102318665 on OpenAlexafffundabout
Rachel M. Horwitz, Stephanne Taylor, Youyu Lu, Jean-Philippe Paquin, Douglas J. Schillinger, David A. Greenberg

Bibliographic record

VenueContinental Shelf Research · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsBedford Institute of OceanographyEnvironment and Climate Change CanadaFisheries and Oceans Canada
FundersGovernment of Canada
KeywordsReversingDragGeologyStratification (seeds)SillOceanographyHydrology (agriculture)MechanicsPhysicsGeotechnical engineering

Abstract

fetched live from OpenAlex

Reversing Falls is a large sill in a narrow section of the Saint John River on the northern coast of the Bay of Fundy, Canada. Reversing Falls limits tides from propagating farther up the river and impedes river water flowing seaward. This work aims to describe the physical processes that control flow over Reversing Falls by using output from a regional numerical model. We find form drag is more important than frictional drag for limiting the M2 tide propagation over Reversing Falls. Despite large tides and strong stratification suggestive of estuarine processes, the dynamics at Reversing Falls are dominated by a steady balance between drag and the surface pressure gradient, with the distinction that all terms in this river-like dynamical balance change sign on a semi-diurnal tidal cycle.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.047
GPT teacher head0.282
Teacher spread0.235 · 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

Citations5
Published2020
Admission routes3
Has abstractyes

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