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Record W202611708

Coherent flow structures and suspension events over low-angle dunes: Fraser River, Canada

2012· dissertation· en· W202611708 on OpenAlexfundaboutno aff
R. W. Bradley

Bibliographic record

VenueSummit (Simon Fraser University) · 2012
Typedissertation
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSuspension (topology)Flow (mathematics)Lagrangian coherent structuresGeologyGeographyHydrology (agriculture)GeomorphologyGeotechnical engineeringPhysicsMeteorologyMechanicsMathematics
DOInot available

Abstract

fetched live from OpenAlex

It is increasingly obvious that dunes with low-angle lee-sides (< 30°) are the most common bedform morphology in large sand-bedded alluvial channels.Flume studies have revealed much about flow and sediment dynamics over high-angle (~30°) dunes, however little is known about low-angle dunes.This study examines flow and suspension events over low-angle dunes in unsteady flow of the Fraser Estuary, Canada.Dune field bathymetry was mapped using a multibeam echo sounder while an acoustic Doppler current profiler simultaneously provided flow and suspended sediment measurements over a range of flows through tidal cycles.Mean flow and sediment transport varied through the tidal cycles.River flow dominated at low tide and largescale suspended sediment events emerged as important sediment transport agents.I estimate that 69% of the total sediment is carried by 50% of the flow during low tide suspension events dominate the flow field.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.188
Teacher spread0.183 · 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
Published2012
Admission routes2
Has abstractyes

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