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Record W568059129

A Geocomposite Barrier for Hydrocarbon Containment in the Arctic

2007· article· en· W568059129 on OpenAlexaboutno aff
Richard J. Bathurst, Kerry R. Rowe, Barbara A. Zeeb, Ken Reimer

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsnot available
Fundersnot available
KeywordsContainment (computer programming)GeomembraneEnvironmental remediationGeotechnical engineeringHydrocarbonEnvironmental scienceGeologyContaminationChemistry
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT: The paper describes the background and remediation steps that were taken to contain migration of a subsurface hydrocarbon contaminant plume at a site in the Canadian Arctic. A composite liner consisting of a novel fluorine surface-treated high-density polyethylene geomembrane and a geosynthetic clay liner was selected as the short-term (several years) barrier solution. The paper describes the design details, the selection criteria, and the challenges that were overcome to install the barrier system. A complimentary program of site monitoring is underway together with a parallel program of laboratory testing investigating the long-term effects of freeze-thaw, low temperatures, and contact with jet fuel on specimens of the barrier components. Results from site monitoring show that the barrier system is performing as planned three years after installation. Laboratory tests completed to date show that the geosynthetic barrier materials can be expected to maintain acceptably low rates of hydrocarbon diffusion and advection well beyond the original 3-year design life of the barrier system.

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)0.000
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 score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.240
Teacher spread0.231 · 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

Citations20
Published2007
Admission routes1
Has abstractyes

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