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Record W2076686625 · doi:10.2495/rbm130221

Influence of submerged groynes for urban creek rehabilitation on aquatic environment at Sawmill Creek in Ottawa, Canada

2013· article· en· W2076686625 on OpenAlexaffabout
M Ruta, E. C. Jamieson, Colin D. Rennie, R. D. Townsend, B. Bezaire

Bibliographic record

VenueWIT transactions on ecology and the environment · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsEnvironment and Climate Change CanadaUniversity of Ottawa
Fundersnot available
KeywordsEnvironmental scienceGeographyCivil engineeringWater resource managementEngineering

Abstract

fetched live from OpenAlex

Submerged groynes (low-profile linear rock structures, also called stream barbs) were installed in a reach of Sawmill Creek in Ottawa, Canada in order to mitigate outer bank erosion in two consecutive bends. These structures have had an effect on both the aquatic life and habitat in the area. Changes in both the flow field and bathymetry have been recorded over 4 years (including 2 years prior to implementation of the groynes) using acoustic Doppler velocimeters, an acoustic Doppler current profiler, and a total station, respectively. The City of Ottawa's Water Environment Protection Program (WEPP) has also provided fish abundance and habitat data for the study site as well as a control site located approximately 200 m downstream. The velocity and bathymetry data collected, combined with the fish abundance data, were used to demonstrate a causal relationship between the implementation of submerged groynes and the recorded change in fish abundance and habitat. There has been a consistent increase in fish abundance at the study site compared to that of the control site, indicating that the presence of the groynes is beneficial to the aquatic environment. This could be attributed to select features provided by the groynes which were not inherently available at the study site, namely: (1) velocity refuge and (2) visual isolation from predators.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.000
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 head0.003
GPT teacher head0.159
Teacher spread0.156 · 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 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
Published2013
Admission routes2
Has abstractyes

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