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Record W2943691656 · doi:10.5539/emr.v8n1p31

Geotechnical Investigation for Foundation Design at the West Bank of Light House Creek, Lagos Deep Offshore Logistics Free Zone, Nigeria

2019· article· en· W2943691656 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEngineering Management Research · 2019
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsnot available
Fundersnot available
KeywordsStandard penetration testDredgingBoreholeSubmarine pipelineGeologyGeotechnical engineeringGeotechnical investigationFoundation (evidence)Mining engineeringArchaeologyOceanographyGeography

Abstract

fetched live from OpenAlex

This study is aimed at investigation for foundation designs at the West Bank Creek, Lagos deep offshore. All field tests were conducted in accordance with standard geotechnical procedure. The soil profiles obtained within the depth explored at the site consist essentially of two soil zones. They are very soft silty clays and medium dense sands. Results revealed that within the depths bored, a relatively high deposit of clay overlies the boreholes from the river-bed to average depth of 3.0 m. In BHs 8, 10, 11 and 12, the clay extends beyond 3.0m thickness with varying depths ranging from 5.0 m to 8.0 m. However, prevalent deposits of sand underlie the clay to the end of the boreholes. In BHs 6 and 9, the entire holes are characterized by huge deposits of sand formation. Notably, the sandy formation exhibited appreciable Standard Penetration Test (SPT) blows indicating sands of medium densification. Based on the field investigations and comprehensive studies, the estimated volume of available sand fill material is 691,863 m3. Sand volume estimate was limited to -10.50 m from the river-bed. All the boreholes have potentials for sand borrows. Scooping of the clayey materials is required to expose the sand deposits. Dredging operation with appropriate dredger should be limited to the area covered by the survey.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.911
Threshold uncertainty score0.905

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.036
GPT teacher head0.266
Teacher spread0.231 · 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