Analysis of Venusian Wrinkle Ridge Morphometry Using Stereo‐Derived Topography: A Case Study From Southern Eistla Regio
Bibliographic record
Abstract
Abstract We present an analysis of 503 topographic profiles taken across 40 ENE‐WSW trending wrinkle ridges from Southern Eistla Regio, Venus, using stereo‐derived topography. We find that their average widths and heights are on the order of 10 km and 100 m, respectively. While the majority of the wrinkle ridges are asymmetric and display vergence to the southeast, some are quasi‐symmetric, possibly representing pop‐up structures, and possess multiple peaks along the backslope, potentially indicating the presence of secondary backthrust faults. Fault geometry modeling in which the average observed wrinkle ridge topographic profile is matched to the calculated surface deformation while varying various faulting parameters indicates that the wrinkle ridges studied have dips of 30°, penetrate to depths of 5 km or less, are blind and reach to within 2 km of the surface, have accommodated approximately 200 m of slip, and possess a planar geometry. These results imply that the wrinkle ridges formed through a thin‐skinned deformation style. The spacing and distribution of the wrinkle ridges at a regional scale displays a clear relationship between wrinkle ridge deformation and lithospheric properties. We therefore conclude that the distribution of wrinkle ridges in the study area is a direct reflection of the regional strain which, in turn, is a result of mantle dynamics coupled with lithospheric thickness. The accumulation of contractional deformation expressed as wrinkle ridges appears to be the result of mantle downwelling along the peripheries of Eistla Regio.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".