Detailed sequence stratigraphy and Gross Depositional Environment mapping of the offshore Nova Scotia Margin
Bibliographic record
Abstract
Summary The subsurface geology of the Scotian Basin has been extensively studied during the past decades owing to the sustained exploration efforts of the oil and gas industry. Geomorphological elements of deep-water sands were intimately analysed in the Cretaceous section of the margin, revealing the existence of turbiditic systems periodically influenced by contouritic currents. One of the major challenges now is to bring together all the depositional features documented in wells and on seismic data to deliver detailed regional-scale maps of Gross Depositional Environments, from the shelf, down to the deep sea basin. The objectives of this work are (1) to determine the stratigraphical and geometrical architecture of the Nova Scotian margin with respect to conventional sequence stratigraphy concept, (2) to display the paleogeographical evolution of the shelf-to basin depositional system from Upper Jurassic to Eocene, and (3) to highlight the prevailing stratigraphic controlling factors (tectonic, eustasy, sedimentation supply) recorded by these highly complex depositional systems through time. Such tectonostratigraphic and environmental understanding is also crucial in terms of hydrocarbon prospectivity since forced regressive deltaic wedges and associated turbiditic systems are key play reservoir elements and primary reservoir targets.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".