Exploring the geology of the central Arctic Ocean; understanding the basin features in place and time
Bibliographic record
Abstract
The history of the deep Arctic Ocean is largely unwritten. The means to understand this history may now be at hand. Bathymetry and potential field data have accumulated to the point it is possible to ask specific questions about the origins and evolution of the individual ridges and basins. The two primary basins have contrasting histories and deficits of understanding. The Eurasia Basin, formed during the Cenozoic, is well understood as far as the kinematics are concerned. The dynamics of ultraslow spreading, as observed on the Gakkel Ridge, are not well understood. It is widely thought that the Amerasia Basin formed during the Mesozoic. Most previous work has begun with a large-scale model of the basin tectonics and fit the ridges and basins it into this pattern. Enough is now known to establish the internal structure and relations from specific observations rather than a priori assumptions. This paper reviews knowledge about the central Arctic Ocean and proposes what should be done to develop a historical understanding of basin history. Ground truth from Arctic Ocean sediments is necessary. It will not be possible to establish the history of events, in geological time, until the sediments have been sampled and dated.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| 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".