Bibliographic record
Abstract
The high economic risk in hydrocarbon exploration on the Scotian Slope, offshore Nova Scotia, is caused by the complex salt structures, which developed from the Triassic to Cretaceous periods.This study applies physical experiments with optical strain monitoring to develop new concepts for the interpretation of geological and geophysical data, and provides information for the hydrocarbon exploration in this area.The scaled analogue models, which use silica sand and silicone as sediments and salt analogues, simulate gravity-driven syn-sedimentary deformation in passive margin sedimentary wedges overlying a mobile substratum.High-resolution optical strain monitoring techniques (2D/3D Particle Imaging Velocimetry, PIV) enable one to quantify the complete 3D deformation and surface fl ow in the experiments.A series of experiments have been conducted to study the effects of varying sedimentation rates and the dip variation of the experimental base on the spatiotemporal deformation pattern.Results show that complex relationships exist between sedimentation pattern, basal dips, salt structures, and fault formation in the overburden.Time-series strain data and structural interpretation of these experiments provides insights in the dynamic evolution of sedimentary basins over a mobile substratum.Our results have the potential to improve the structural and seismic interpretation of the Scotian Slope salt province.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.650 | 0.647 |
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".