Geotechnical Investigation for Foundation Design at the West Bank of Light House Creek, Lagos Deep Offshore Logistics Free Zone, Nigeria
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".