MétaCan
Menu
Back to cohort
Record W2514155423 · doi:10.1061/9780784480144.031

A Permeable Reactive Barrier Installed in Acid Sulfate Soil Terrain

2016· article· en· W2514155423 on OpenAlexaff
Udeshini Pathirage, Buddhima Indraratna

Bibliographic record

VenueGeo-Chicago 2016 · 2016
Typearticle
Languageen
FieldEngineering
TopicEnvironmental remediation with nanomaterials
Canadian institutionsGeomechanica (Canada)
Fundersnot available
KeywordsPermeable reactive barrierEnvironmental remediationGroundwaterSulfateReactive materialEnvironmental scienceGroundwater remediationContaminated groundwaterEnvironmental engineeringTerrainEnvironmental chemistryMining engineeringContaminationChemistryGeologyGeotechnical engineeringMaterials scienceMetallurgy

Abstract

fetched live from OpenAlex

Permeable reactive barriers (PRBs) are used worldwide for the remediation of contaminated groundwater in the subsurface. This paper showcases a PRB installed in an acid sulfate soil rich ground to neutralize acidic groundwater. Recycled concrete has been used as the reactive material. Its performance is monitored over 8 years and has shown promising results for treatment in the long-term by maintaining a neutral pH and removing heavy metals from groundwater. Heavy metals (Al and Fe) precipitate out of solution and armor the reactive surfaces of recycled concrete, which leads to a decrease in the efficiency. Longevity of the PRB is predicted considering the rate of exhaustion of reactive material, rate of precipitation of secondary minerals and the groundwater flow at field site.

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 score0.003
Threshold uncertainty score0.006

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.187
Teacher spread0.182 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueGeo-Chicago 2016Same topicEnvironmental remediation with nanomaterialsFrench-language works237,207