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Record W2037222722 · doi:10.1061/40970(309)25

Estimation of the Mechanical Properties of MSW during Degradation in a Laboratory Compression Cell

2008· article· en· W2037222722 on OpenAlex
Manoj Kumar Singh, Ian Fleming

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

VenueGeoCongress 2008 · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMunicipal solid wasteDegradation (telecommunications)Environmental scienceWaste managementClosure (psychology)Compression (physics)Materials scienceComputer scienceEngineeringComposite material

Abstract

fetched live from OpenAlex

Significant advances have been made during the past two decades in the understanding of the mechanical behavior of municipal solid waste (MSW) landfills. Large post-closure deformations have been observed in landfills, often interfering with the buried infrastructure used to collect landfill gas. Slope failures have also been observed in landfills, in some cases with significant loss of life. Since a major component of MSW is degradable material, it is expected that the mechanical properties of waste likely change over time. It is therefore necessary to understand and quantify the evolution of mechanical properties of waste with time as it degrades. The present study is an effort in this direction intended to explore the long-term changes in the mechanical behavior of waste. Some preliminary results are presented in this paper.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.230

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)0.0000.000

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 head0.013
GPT teacher head0.196
Teacher spread0.184 · 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