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Record W2054140142 · doi:10.2136/vzj2014.03.0032

Atmospheric Controls on Gas Flow Directions in a Waste Rock Dump

2014· article· en· W2054140142 on OpenAlex
Belkacem Lahmira, René Lefebvre, Daryl Hockley, Mark Phillip

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

VenueVadose Zone Journal · 2014
Typearticle
Languageen
FieldEngineering
TopicCoal Properties and Utilization
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsBuoyancyOutflowAirflowDrainageEnclosureFlow (mathematics)Environmental scienceAtmospheric airWaste managementGeologyAtmospheric sciencesMechanicsEngineering

Abstract

fetched live from OpenAlex

The Sullivan Mine No. 1 Shaft waste rock dump was built on a natural slope and covered by till. The outflow of O 2 –deficient gas through a leachate drainage pipe in an enclosure at the base of the dump resulted in four fatalities. A numerical model was developed to understand the mechanism controlling gas flow, which was found to be the relative buoyancy of the gas phase within the dump compared with atmospheric air. Changes in atmospheric air density are caused by atmospheric temperature variations, whereas dump gas‐phase density is relatively constant due to a steady internal dump temperature. When the air temperature is lower than the internal dump temperature, atmospheric air density is higher than the dump gas density, inducing upward dump gas flow and air entry into the drainage pipe. Downward dump gas flow occurs and exits the drainage pipe when high atmospheric temperature leads to an air density lower than the dump gas density. A gas flow behavior similar to what was observed at the No. 1 Shaft dump could occur in other covered dumps.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score0.366

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 head0.007
GPT teacher head0.184
Teacher spread0.177 · 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