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Record W2034495757 · doi:10.1520/jai11741

Effect of Freeze-Thaw on the Permeation of Arctic Diesel Through a GCL

2004· article· en· W2034495757 on OpenAlex
R. Kerry Rowe, Toshifumi Mukunoki, MH Li, RJ Bathurst

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

VenueJournal of ASTM International · 2004
Typearticle
Languageen
FieldEnergy
TopicCoal and Coke Industries Research
Canadian institutionsRoyal Military College of CanadaQueen's University
Fundersnot available
KeywordsPermeationDiesel fuelMaterials scienceChemistryMembraneBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The hydraulic conductivity of a scrim reinforced nonwoven thermal locked geosynthetic clay liner (GCL) with respect to both de-aired distilled water and arctic diesel (jet fuel) are examined for different numbers of freeze and thaw cycles. The hydraulic conductivity of jet fuel is found to be about one order of magnitude smaller than that for de-aired water. Increasing numbers of freeze and thaw cycles, did not significantly change the hydraulic conductivity although the permittivity with respect to water decreased. The intrinsic permeability of the GCL permeated by jet fuel increased slightly with an increasing number of freeze-thaw cycles. It is shown that under the conditions examined, the GCL performed very well.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.652
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.310
Teacher spread0.288 · 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