Underlying structural control of small‐scale faults and fractures in West Candor Chasma, Mars
Bibliographic record
Abstract
Orientations of small‐scale faults and fractures within the interior layered deposits of West Candor Chasma were measured to investigate what information about the geologic history of Valles Marineris they can contribute. Deformational features were separated into six categories based on morphology and their orientations were analyzed. The elevations at which the deformational features formed are recorded, as a proxy for stratigraphic level. Deformational features occur over a continuous range of elevations and display regionally consistent preferred orientations, indicating their formation was controlled by a regional stress regime. The two most abundant preferred orientations of ∼35° and ∼110° are approximately parallel to the chasma walls and the inferred underlying normal faults. The alignment of three populations of small faults at 140°, consistent with the morphology of release faults, indicates a large‐scale fault underlying the southeastern border of Ceti Mensa. The preferred orientations imply these small‐scale deformational features formed from a continuation of the same imposed stresses responsible for the formation of Valles Marineris, indicating these stresses existed past the formation of the interior layered deposits. The origins of a fourth preferred orientation of 70° is less clear but suggests the study area has undergone at least two periods of deformation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".