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Record W3197056648 · doi:10.1190/segam2021-3580138.1

Simultaneous acoustic, electrical, and X-ray computed tomography laboratory measurements of partially saturated permafrost degradation

2021· article· en· W3197056648 on OpenAlexaff
Ehsan Vosoughi, Bernard Giroux, Mathieu J. Duchesne, J. Christian Dupuis

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsUniversité LavalGeological Survey of Canada
Fundersnot available
KeywordsPermafrostElectrical resistivity tomographySalinityGeologyAttenuationPorosityElectrical resistivity and conductivityMineralogyTomographySoil scienceGeophysicsGeomorphologyGeotechnical engineeringPhysicsOpticsOceanography

Abstract

fetched live from OpenAlex

We present preliminary results of simultaneous laboratory experiments to measure the impact of permafrost thawing on geophysical properties of partially-saturated frozen sediment samples. Coincident acoustic, electrical resistivity and X-ray computed tomography measurements are conducted on synthetic permafrost samples to determine the behavior of the fluid and the matrix during thawing. Results suggest that attenuation for sample with the higher salinity increased by 15 dB in comparison to the lower salinity sample. Also, according to electrical resistivity, temperature variation has a greater influence on the low salinity sample. CT images showed that permafrost degradation reduced the cohesiveness of the sediments. This increases attenuation and porosity. Finally, fine-scale and complex interactions between the matrix and saline fluids affecting effective porosity, are suspected during permafrost thaw. However, this requires further analyses before it can be confirmed.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.031
GPT teacher head0.235
Teacher spread0.204 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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