Chaotic Terrain in Southern Circum-Chryse, Mars
Bibliographic record
Abstract
The presence of large outflow channels on Mars shows the importance of water in shaping the surface of the planet over geologic time. Chaotic terrain has been identified as the source region for flood waters responsible for carving out many of these channels. There are still many unanswered questions regarding chaotic terrains on Mars. Using the most up to date CTX, HRSC, and MOLA coverage, DEM and TIN models were used to investigate examples of smooth-topped chaotic terrains which include: Hydraotes Chaos, a crater pair in Hydaspis Chaos, Baetis Chaos, and Candor Chaos, all south of Chryse Planitia. The findings of this study suggest that the collapse of chaotic terrains is not regionally controlled. This study also suggests that the largest chaotic terrains do not require external heat sources to form. Finally, there is evidence that chaotic terrain forming events have occurred from the Middle Noachian to the Late Hesperian/Early Amazonian. This data set contains the raw data for the Chaotic terrains studied here. Specifically, for each terrain the following files are included: Baetis • Baeties+East_Statistics_All_Mesas o Spreadsheet of all Baetis and East Chaos mesas as well as some flat areas of the channel floor. • baetis+east_volume_depth_calc o Spreadsheet of volume calculations • Mosaic and DEM composites • Image of Mesa locations • TIN of Baetis and East Chaos • Volume surfaces used in volume calculation Candor • Candor_Statistics_All_Mesas o Spreadsheet of all Candor Chaos mesas as well as some flat areas of the floor. • Candor_volume_calc o Spreadsheet of volume calculations • Mosaic and DEM composites • Image of Mesa locations • TIN of Candor Chaos Hydaspis • Hydaspis_Statistics_All_Mesas o Spreadsheet of all Hydaspis Chaos mesas as well as some flat areas of the plateau. • Hydaspis_Calculation_Volume_Polygon o Spreadsheet of volume calculations • Hydaspis_Terrace_Measurements o Spreadsheet of elevation points of terraces • Mosaic and DEM composites • Image of Mesa locations • TIN of Hydaspis Chaos • Volume surfaces used in volume calculation Hydraotes • Hydraotes_Statistics_All_Mesas o Spreadsheet of all Hydraotes mesas as well as some flat areas of the plateau. • Hydraotes_Calculation_Volume o Spreadsheet of volume calculations • Hydraotes_Terrace_Elevation_Points o Spreadsheet of elevation points of terraces • Mosaic and DEM composites • Image of Mesa locations • TIN of Hydraotes Chaos
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".