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Record W2318418532 · doi:10.4133/1.4721841

Characterization of Waste Density and Settlement via Micro gravity

2012· article· en· W2318418532 on OpenAlex
Kyle Harris, C. Samson, P. Van Geel

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSymposium on the Application of Geophysics to Engineering and Environmental Problems 2012 · 2012
Typearticle
Languageen
FieldEngineering
TopicMineral Processing and Grinding
Canadian institutionsCarleton University
Fundersnot available
KeywordsCharacterization (materials science)Settlement (finance)Environmental scienceComputer scienceMaterials scienceNanotechnologyWorld Wide Web

Abstract

fetched live from OpenAlex

Optimizing the utilization of landfill space and production of biogas, which can be used as an energy source, is dependent on understanding the compaction and stabilization of waste over time. Maximum compaction minimizes the landfill footprint; however, it might not provide the optimal environmental conditions for bacteria development and waste stabilization. This paper reports on a research project which pilots the use of repeated microgravity surveys to map changes in waste density of waste over time in a bioreactor landfill. Over the duration of 3 years, several microgravity surveys will be conducted on a new cell at a bioreactor landfill in Sainte‐Sophie, Quebec, Canada, as it is gradually filled with waste up to a height of 25 m. The paper presents a comparison of gravity data acquired in June 2010 (waste height ≈5.5 m) and April 2011 (waste height ≈13 m).

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 score0.041
Threshold uncertainty score0.420

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 head0.004
GPT teacher head0.163
Teacher spread0.159 · 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