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Record W2364111107

Experimental Study on Non-depositing Critical Velocity of Muddy Water Delivery in Pipeline System

2004· article· en· W2364111107 on OpenAlexaff
Zhang Ying-pu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSoil, Finite Element Methods
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsSiltationSedimentPipeline (software)SiltChannel (broadcasting)Pipeline transportIrrigationHydrology (agriculture)GeologyEnvironmental scienceSedimentationGeotechnical engineeringPetroleum engineeringEnvironmental engineeringGeomorphologyEngineering
DOInot available

Abstract

fetched live from OpenAlex

Multi-sediment river was regarded as source of water in northern channel irrigation area. Which irrigation technique of water delivery in pipeline being extended and applied is restricted because of sediment depositing in pipeline. Solving sediment depositing in pipeline key of problem lied in determining non-depositing critical velocity of muddy water delivery in pipeline system. Non-depositing critical velocity was experimental studied under different silt content according to muddy water channel irrigation area sediment characteristic and operation reality, founding on sediment motion mechanics, using water delivery in pipeline system. The empirical formula of non-depositing critical velocity was drawn and it provided the basic theoretic reference to prevent pipeline silting and choking in channel irrigation area.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.022
GPT teacher head0.298
Teacher spread0.275 · 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 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

Citations0
Published2004
Admission routes1
Has abstractyes

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