Seismic Facies und Structure Interpretation from 2D Profiles in the Vicinity of Herschel Island, Yukon, Canada
Bibliographic record
Abstract
Herschel Island (Qiqiktaruk in Inuvialuktun) in the southern Canadian \nBeaufort Sea was formed as an ice push moraine by the advance \nof the Laurentide Ice Sheet during the Last Glacial Maximum in the \nlate Wisconsinan. In the vicinity of the island the Herschel Basin \nwas formed contemporarily by that process. Nevertheless we are \nstill lacking evidence for the basin generation and its evolution after \ncreation and the ice sheet retreat. To gain new information about \nthe depositional history and the conditions during and after generation \nof the basin, I studied seismic two-dimensional profiles from \nparametric echosounding that were recorded in the basin during expeditions \nin 2006 and 2013. A big part of the work of this thesis was \nconstituted of the processing and enhancement of these profiles using \nthe programs OpendTect and SeiSee to guarantee high quality \ndatasets. The interpretation of those data together with older geohphysical \nand borehole logs improved our knowledge of the basin history. \nThe structures and facies that were discovered by this analysis \nwere formed in different states of the basin evolution and provide \nsufficient new data to reconstruct its generation and development \nas a depositional centre afterwards. The interpretation supports the \nhypothesis that the basin was formed as the Laurentide Ice Sheet advanced \nto its maximum extent, was exposed to the atmosphere after \nits retreat and became part of the Beaufort Sea after flooding subsequently. \nAdditionally to its interpretation, the echosounding data \nwas used to enhance the existing bathymetric data for the basin as \nthe former maps were not convenient enough for future tasks.
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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 | 0.002 | 0.003 |
| 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".