MétaCan
Menu
Back to cohort

Excavation of Surface Installed Pipeline

2001· article· en· W2150102341 on OpenAlexaff
Mark A. Knight, Glenn Duyvestyn, Marc Gelinas

Bibliographic record

VenueJournal of Infrastructure Systems · 2001
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsOvalityGeotechnical engineeringSlurryDrillingDeflection (physics)Water tablePipeline transportTrenchless technologyExcavationGeologyDrilling fluidBoreholeNominal Pipe SizeEngineeringGroundwaterMaterials scienceStructural engineeringComposite materialMechanical engineering

Abstract

fetched live from OpenAlex

A research program was undertaken to investigate the behavior of high-density polyethylene pipe during surface installation by horizontal directional drilling. In the fall of 1997, an instrumented high-density polyethylene pipe [55 m (180 ft) long, 200 mm (8 in.) in diameter, and dimension ratio of 17] was installed and monitored. Approximately 2 years later, three test pit excavations were completed to obtain in situ information along the bore, including pipe subsurface profile, characterization of site soils and bore slurry surrounding the pipe, location of the pipe in the bore, and pipe rotation and ovality. Research results indicate that pilot bore and in situ pipe profiles agree well, pipe buoyancy forces are small, drilling practice and fluid flow characteristics influence the slurry composition, well-designed drilling fluids provide bore support during and for extended periods following installation, significant voids are not created within the bore, slurry consolidates to a density similar to the surrounding soil (when the bore is located above the groundwater table), pipe torsion loading is inferred to be low, and pipe ovality is less than specified long-term deflection limits.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.005
GPT teacher head0.194
Teacher spread0.189 · 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 designNot applicable
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

Citations23
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Infrastructure SystemsSame topicGeotechnical Engineering and Underground StructuresFrench-language works237,207