MétaCan
Menu
Back to cohort
Record W4402651331 · doi:10.1051/e3sconf/202456922003

Bituminous geomembranes in mining applications in the Americas

2024· article· en· W4402651331 on OpenAlexaffabout
N. Daly, Ted Aguirre, Emilio Escobar, Bertrand Breul

Bibliographic record

VenueE3S Web of Conferences · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsWeetabix (Canada)
Fundersnot available
KeywordsGeomembraneAsphaltEnvironmental scienceMining engineeringGeologyGeographyArchaeologyGeotechnical engineering

Abstract

fetched live from OpenAlex

Bituminous geomembranes (BGM) have been used over the last 20 years in mining applications in innovative ways, to reduce the hazards of mining in the environment. BGM is a reinforced geomembrane made of a geotextile from 250 gr/m² to 400 gr/m 2 impregnated by elastomeric bitumen. This gives the geomembrane unique features that enables their use in demanding weather conditions of low temperatures (– 45°C or -49°F in Northern Canada or Europe) or high temperatures (+40°C in Brazil) due to its low thermal expansion coefficient that avoids the formation of wrinkles. This allows the installation and welding at high temperatures in the countries of Latin America. This paper will describe how several unique characteristics have been used for challenging and environmentally sensitive mining projects throughout the Americas, including treatment of solid waste spoil dumps (heap leach pads, closure, and encapsulation of mining facilities) of different types of ore: gold, diamonds, lithium, copper, silver, rare earth: niobium and in hydraulic applications for tailings or clear water dams and reservoirs.

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 score0.096
Threshold uncertainty score0.696

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)0.0010.000

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 head0.021
GPT teacher head0.270
Teacher spread0.249 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueE3S Web of ConferencesSame topicLandfill Environmental Impact StudiesFrench-language works237,207