Relative sea-level variations in the Amerasia Basin since the Lower Cretaceous
Bibliographic record
Abstract
In 2008, the Alfred Wegener Institute (AWI) of Germany, using the RV Polarstern, collected multi-channel seismic reflection data in the eastern Arctic Ocean (73-78°N and 170°E-170°W), namely across the East Siberian Shelf, the Chukchi Plateau and the southern part of the Mendeleev Ridge. For the seismic data acquisition an airgun array with up to six airguns (48 ltr. total volume fired at 200 bar) and a 3000 m long streamer with 240 active channels were used.One of the profiles, collected from the Chukchi Shelf towards the north into deep water, shows the paleo-shelf break structures over 250 km length as prograding, retrograding and aggrading sequences with a total thickness of 3500 m. To receive the ages of these sequences, five exploration wells near the coast of Alaska were used. An existing network of 194 seismic reflection lines from the United States Geological Service (USGS), collected between 1977 and 1993, from the Norwegian company TGS-NOPEC (2006), and the American HOTRAX Expedition (2005) were used to correlate the well logging information into the AWI data. With the help of this network, it was possible to correlate tentatively four prominent horizons with ages between the Paleocene and Lower Cretaceous into the new data. The interpreted sequence boundaries in the seismic reflection profile were used to determine its chronostratigraphic significance, and concluded from that, the relative sea-level changes. Finally, in this presentation the Arctic Ocean sea-level changes will be compared with the global sea-level curve.
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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".