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Effects of Design Mix and Porosity of Waste-Derived Paste as Landfill Daily Covers on Lead Retardation

2010· article· en· W2161463950 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePractice Periodical of Hazardous Toxic and Radioactive Waste Management · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsPorosityEffluentHomogeneity (statistics)Materials scienceRetardation factorWaste managementMunicipal solid wasteEnvironmental scienceComposite materialEnvironmental engineeringChemistryChromatographyMathematicsEngineering

Abstract

fetched live from OpenAlex

An innovative waste-derived paste of waste tire chips and paper sludge was proposed for daily cover applications in municipal solid waste landfills. In this study, retardation and transport behaviors of lead (Pb) by the proposed paste were investigated using column tests. Breakthrough curves of 16 specimens at various design mixes and porosities were presented. A one-dimensional equilibrium deterministic transport model was used to fit the transport parameters from the breakthrough curves and to verify the homogeneity of the specimens. Analysis of the effluent concentrations from the column tests displayed a retardation effect for Pb in all cases, with fitted retardation factors ranging from 19.9 to 59.0. Lead retardation by the proposed paste was found to be sensitive to the paste’s porosity and design mix. Early arrivals of solute were observed unexpectedly in columns with high paper sludge content under high packing densities and were attributed to the possible presence of preferential flow paths. The results also suggest that an optimal porosity and design mix for the paste existed with respect to Pb retardation.

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.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.802

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.226
Teacher spread0.220 · 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