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Record W4417156177 · doi:10.1680/jgele.25.00030

Scalp-and-replacement of oversize particles on internal stability erosion assessment

2025· article· en· W4417156177 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

VenueGéotechnique Letters · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicErosion and Abrasive Machining
Canadian institutionsUniversity of British ColumbiaBC Hydro (Canada)
Fundersnot available
KeywordsPermeameterInternal erosionErosionFlow (mathematics)Stability (learning theory)

Abstract

fetched live from OpenAlex

Internal stability (IS) erosion tests were conducted on broadly graded materials to better understand the effect of the scalped-and-replaced method of removing oversize particles on IS erosion testing. Four gradations (three internally unstable and one internally stable), and their scalped-and-scalped gradations were evaluated under upward flow in three large rigid-wall permeameters (300, 500, and 1000 mm in diameter). The limited test results suggest that scalp-and-replacement of oversize particles coarser than 4 × d30 has no significant effect on IS assessment of the original gradation. The permeameter-to-particle diameter ratio (D/dmax) in the tests varied from 5 to 13. The limited test results suggest D/dmax ≥ 6·5 is acceptable for IS erosion tests in a rigid-wall permeameter if proper measures are taken to minimise preferential erosion along the permeameter wall.

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 score0.140
Threshold uncertainty score0.438

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 head0.009
GPT teacher head0.267
Teacher spread0.258 · 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