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Record W2322179255 · doi:10.1061/40737(2004)195

Techniques and Measurements for Flows and Water Levels in a Large Northern Delta

2004· article· en· W2322179255 on OpenAlexafffundabout
P. Ward, Hassen A. Yassien, Stephen J. Burges

Bibliographic record

VenueCritical Transitions in Water and Environmental Resources Management · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsGolder Associates (Canada)
FundersBC Hydro
KeywordsDeltaHydraulicsChannel (broadcasting)Hydrology (agriculture)GeologyWater dischargeFlow (mathematics)WeirFlood mythEnvironmental scienceGeotechnical engineeringTelecommunicationsGeographyArchaeologyEngineeringGeometry

Abstract

fetched live from OpenAlex

Field work on the Athabasca part of the Peace Athabasca Delta, in Northern Canada, has shown the usefulness of employing new equipment to understand channel hydraulics in remote areas. A differential GPS system was used for accurate surveying work, and an Acoustic Doppler Profiler (ADP) was used to determine flow rates. Channel bank heights for an 81km distance upstream from Lake Athabasca were determined, as were river surface levels at medium discharge in the Athabasca River and its distributary channels. As many as 15 channel sections were surveyed per day with a boat-mounted ADP. For the same daily discharge value, cross-sectional average velocities in the main channel were found to be preserved at about the same value for a remarkably long distance in the final part of the delta, all the way to the lake. Comparison with old data shows a remarkably rapid rate of channel building. Flood magnitudes that cause bankfull flow conditions were found to change by a large factor from the head of the delta to the lake.

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 score0.159
Threshold uncertainty score0.500

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 head0.016
GPT teacher head0.234
Teacher spread0.218 · 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

Citations2
Published2004
Admission routes3
Has abstractyes

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