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Record W4255309222 · doi:10.32920/ryerson.14665713

Leaching Impact On Compressibility Of Untreated And Cement-Treated Champlain Sea Clay

2021· preprint· en· W4255309222 on OpenAlex

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

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicMaterials Engineering and Processing
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsCompressibilityLeaching (pedology)CementSalinityGeotechnical engineeringGeologyPore water pressureSoil waterSoil scienceMaterials scienceComposite materialThermodynamics

Abstract

fetched live from OpenAlex

The pore fluid salinity level of undisturbed Champlain Sea clay samples were reduced from 19.81 to 0.79 g/L using a leaching apparatus designed for this experimental study. Then the impact of leaching on the compressibility characteristics of the undisturbed, remoulded, and cement-treated clay samples were investigated through constant rate of strain tests. It was found that the compressibility of Champlain Sea clay was affected by the level of salinity in its pore fluid. The reduction of salinity to 0.79 g/L in this study impacted the compressibility of both remoulded and cement-treated clay but did not affect on the compressibility of undisturbed clay. A higher compressibility was recorded from remoulded leached sample compared to the remoulded unleached sample. In cement-treated samples, an improvement in the compressibility characteristics was observed from the leached samples treated with 50 kg/m3 GU cement compared to that of their corresponding treated unleached samples.

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 categoriesMeta-epidemiology (narrow)
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 score0.181
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.014
GPT teacher head0.253
Teacher spread0.238 · 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

Quick stats

Citations6
Published2021
Admission routes1
Has abstractyes

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