Application of Surface Geophysics for Providing a Detailed Geotechnical Assessment of a Large Resort Development Site in Anguilla, BWI
Bibliographic record
Abstract
Ocean Earth Technologies, Inc. (OET), a subsidiary of N.S. Nettles &Associates, Inc., was contracted to perform a geophysical mapping study andcomprehensive geotechnical investigation of a proposed resort property located inRendezvous Bay, Anguilla, British West Indies (BWI) (Figure 1). The purpose of themapping was to provide extensive detail into the geologic conditions across the siteand in the bay that would help to identify any anomalous subsurface features, such assolution zones or fractures in the limestone unit, which would be potential hazardsand areas of concern for construction purposes. Additionally, the testing was used toidentify the depth to competent rock across the site, the thicknesses of overlyingunconsolidated units, and ideal drilling locations for the placement of flushingchannels that will connect the inland salt pond on the resort property to RendezvousBay. The geophysical surveys consisted of both Multi-Electrode ElectricalResistivity (MER) testing, as well as Multi-Channel Analysis of Surface Waves(MASW), a seismic method of geophysical mapping (Nettles, 2005; Ocean EarthTechnologies, 2006; Ocean Earth Technologies, 2006). These surveys were followedby 45 Standard Penetration Test (SPT) borings and 60 ten foot long, four inch rockcore borings in order to ground-truth the geophysical data and obtain physicalsamples for laboratory analysis of engineering properties for design purposes.Additionally, 71 Cone Penetration Test (CPT) soundings were also performed on thebeach front unconsolidated sands.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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".