An Improved Portrayal of the Floor of the Arctic Ocean, Based on a Grid Derived from GEBCO Bathymetric Contours
Bibliographic record
Abstract
Digital descriptions of sea floor relief and land topography in the Arctic are useful for scientific and illustrative purposes, however existing public-domain data sets, such as the ET0P05 grid and extracts from the GEBCO Digital Atlas, don’t lend themselves particularly well to visualization and other processes that work best with uniformly-spaced data. A technique has been developed for converting isobaths from the GEBCO Digital Atlas into a uniform 5 km X 5 km grid of depth values. At the same time, the land component of ET0P05 has been re-sampled at a similar grid spacing. When combined, these two grid sets yield convincing shaded relief portrayals of the Arctic region. The methodologies described here are not restricted to the Arctic, but may be applied with minor modification to other regions as well.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".