Spectroscopic analysis of modern Mg-carbonates from multiple mafic/ultramafic environments with relevance to Jezero crater, Mars
Bibliographic record
Abstract
The detection and presence of carbonates on Mars and within Jezero crater implies and supports an extensive aqueous history during the Noachian to early Hesperian and can help with the reconstruction of paleoenvironments. Mg-carbonates have been identified using in-situ spectroscopic instruments on board the Mars Perseverance Rover in the mafic and ultramafic Máaz and Séítah units implying a potential past habitable environment. The goal of this study was to conduct a multi-instrument examination of magnesium carbonates formed at several terrestrial ultramafic and mafic sites and assess their relevance to the exploration of Jezero crater on Mars. In this study we demonstrate the unique spectral features using a suite of spectroscopic instruments of the microbialite samples from the Atlin playas, Clinton Creek, Lake Alchichica, and Lake Salda analogue sites with relevance to Mars. The results of this study determined the presence of magnesite, hydromagnesite and aragonite being the dominant mineralogy present. The reflectance was determined to be the most useful spectroscopic instruments to identify biological compounds while the Raman was determined to be most useful at identifying mineralogy and comparing the microbialites to pure end members. From our study we have determined the likely hypotheses for the current state of the Jezero crater bedrock to be consistent with hydrothermal alteration and hypothesize lacustrine environments for the formation of Marginal Carbonate unit. The use of analogue sites can help to indicate the habitability of Mars and that the most successful determinant of Mg-carbonate formation on Mars is to return the samples to Earth for further analysis.
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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 | 0.000 |
| 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 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".