Testing of a modified Seistec seismic reflection profiler and its application to the marine geology of offshore eastern Oak Island, Mahone Bay, Nova Scotia, Canada
Bibliographic record
Abstract
A modified, surface-towed, sub-bottom profiler, the boomer-based “Seistec” system, was deployed in an area offshore of eastern Oak Island, Mahone Bay, Nova Scotia, in May 2017. Several grids of lines were surveyed around eastern Oak Island. Subsequently, the sub-bottom profiler data were interpreted from a geological perspective after being processed, scaled, aligned and merged with a previously collected multibeam bathymetric data set. This exercise resulted in the first integration of multibeam bathymetry and high resolution sub-bottom profile data from offshore Oak Island and provides insight into the subsurface stratigraphy of the bedrock and glacial and postglacial sediments. The seabed is mostly composed of boulder-covered till drumlins and Holocene mud. Subsurface sediments include till and glaciomarine and lacustrine sediments, and a regional unconformity developed in response to postglacial transgression was revealed. Anthropogenic features include a shipwreck and unusual coast-normal seabed gravel ridges. Seabed natural features include sinkholes and pockmarks that are likely connected by channels in the bedrock to sinkhole features on adjacent land.
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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 | 0.001 | 0.003 |
| 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".