MétaCan
Menu
Back to cohort

Rate of Growth and Other Features of the Temporal Development of Pool-Bar Complexes in Meandering Streams

2011· article· en· W1998352144 on OpenAlexafffund
Andrew Binns, Ana Maria Ferreira da Silva

Bibliographic record

VenueJournal of Hydraulic Engineering · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSTREAMSBar (unit)GeologyDevelopment (topology)Hydrology (agriculture)Upstream (networking)Channel (broadcasting)Geotechnical engineeringMechanicsPhysicsEngineeringMathematicsComputer scienceOceanography

Abstract

fetched live from OpenAlex

Despite substantial research on various aspects of bed deformation in meandering streams, no systematic effort has yet been made to establish the timescales of the process. Additionally, in past experiments, as a rule, the bed was not monitored throughout the development, which has left undocumented essential features of the growth of meandering pool-bar complexes. In this paper, an effort is made to penetrate some of these aspects. More specifically, the five laboratory runs presented by the writers in their 2009 paper in this journal are revisited with the following two objectives: (1) to reveal the rate of growth of the resulting meandering pool-bar complexes; and (2) to document the extent, if any, of upstream or downstream migration of developing pool-bar complexes in examples of sufficiently wide streams in which the bed deformation is primarily because of the convective behavior of flow. The runs were conducted in a 70° sine-generated channel having rigid banks. In each run, the bed was allowed to deform from an initially flat bed to the equilibrium state, the deformation monitored throughout the runs. It was found that the bed development was very rapid at the early stages of the runs, with approximately 70% and 90% of the development accomplished when only one-quarter and one-half, respectively, of the total bed development time had been reached. An equation describing the growth rate of the pool–bar complexes is proposed. The plan location of these complexes remained invariant throughout each run. However, the location of maximum erosion within the pools noticeably shifted upstream during the development.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score0.209

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 head0.012
GPT teacher head0.194
Teacher spread0.181 · 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

Citations8
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Hydraulic EngineeringSame topicHydrology and Sediment Transport ProcessesFrench-language works237,207