Analysis of polygonal terrain landforms on Earth and Mars through spatial point patterns
Why this work is in the frame
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Bibliographic record
Abstract
Abstract In this paper, we explain the successive steps by which spatial point pattern analysis (SPPA) can be used to describe the variety of polygonal terrain morphologies observed both on Earth and on Mars. In this context, a point is defined as a polygon trough intersection with identifiable spatial coordinates. This definition corresponds to a key step in our approach: obtaining observed 2‐D spatial point patterns from digitized images. The distribution of nearest‐neighbor (NN) distances provides the quantitative basis sought to characterize objectively the overall polygonal network geometry as completely random, regular, or intermediate. In the cases of regular geometry, the distribution of NN distances can be advantageously modeled, which completes the effectiveness of the statistical approach and method based on SPPA. Copyright © 2008 John Wiley & Sons, Ltd.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it