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Record W2058050737 · doi:10.1061/9780784412787.022

Characterizing Low Plastic Fine-Grained Foundation Soils under Strong Earthquake Shaking

2013· article· en· W2058050737 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

VenueGeo-Congress 2013 · 2013
Typearticle
Languageen
FieldMathematics
TopicModeling, Simulation, and Optimization
Canadian institutionsBC Hydro (Canada)Klohn Crippen Berger (Canada)
Fundersnot available
KeywordsGeotechnical engineeringPlasticityConsolidation (business)Soil waterShear (geology)Soil testPenetration testGeologyMaterials scienceEnvironmental scienceComposite materialSoil science

Abstract

fetched live from OpenAlex

This paper describes a field and laboratory testing program conducted on the relatively weak, low plastic, fine-grained soils within a dam foundation. Standard Penetration Tests (SPTs) with energy measurements and Nilcon vane shear tests were conducted in situ and consolidation, triaxial and constant volume direct simple shear tests (DSS) were conducted on intact soil samples extracted from the low plastic fine grained soil layers. The DSS tests included cyclic and post-cyclic monotonic tests with and without initial static bias. The seismic behaviour of the low plastic fine grained soil layers were characterized based on their plasticity index, over consolidation ratio, SPT resistance, vane shear strengths and cyclic and post-cyclic resistance from the DSS tests, with emphasis on the results from the DSS tests. The paper presents results from the field and laboratory testing focusing on the results from cyclic and post-cyclic DSS tests.

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), Insufficient payload (model declined to judge)
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 score0.197
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.038
GPT teacher head0.282
Teacher spread0.244 · 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