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Record W1945653003 · doi:10.1029/2004wr003777

Hydraulic geometry of secondary channels of lower Fraser River, British Columbia, from acoustic Doppler profiling

2005· article· en· W1945653003 on OpenAlexaffabout
Erica R. Ellis, Michael Church

Bibliographic record

VenueWater Resources Research · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHydraulicsGeologyAcoustic Doppler current profilerGeometryChannel (broadcasting)ScalingHydrology (agriculture)Doppler effectGeomorphologyGeotechnical engineeringPhysicsEngineeringOceanographyCurrent (fluid)TelecommunicationsMathematics

Abstract

fetched live from OpenAlex

The hydraulics and morphology of secondary channels within the lower Fraser River gravel reach were examined using data collected with an acoustic Doppler profiler during the large 2002 freshet. Data were collected over an area of channel (“subreach”), for a range of subreach morphologies (“upstream,” “mid,” and “downstream”). As suggested by visual evidence, at‐a‐station hydraulic geometry of subreach types stratified along gradients of width, depth, and velocity. Fish habitat is more abundant and more persistently available in the wide, deep downstream subreaches, but higher velocities preferred by some species occur in the mid stream and upstream subreaches. Additional high‐flow data, used to develop bank‐full scaling relations (classical “downstream” hydraulic geometry), conformed well to a simple power law up to and including data points from the main channel. However, width and depth exponents deviated from classical results. Investigation suggests that the relations observed in this study approach expected relations for constant slope and channel boundary materials.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.516
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0330.000

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 head0.017
GPT teacher head0.253
Teacher spread0.236 · 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.

Study designBench or experimental
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

Citations42
Published2005
Admission routes2
Has abstractyes

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