Fluid Composition and Mineral Reactions at Yellowknife Bay, Mars
Bibliographic record
Abstract
The <i>Curiosity</i> rover of <i>Mars Science Laboratory</i> (MSL) has identified and analysed, for the first time on Mars, a set of mudstones with nodules and Mg-rich veining, recording a history of deposition within a fluviolacustrine environment followed by low temperature alteration. The composition and mineralogical information preserved in the Gale Crater sediments provide a unique opportunity to determine the evolving composition of the fluid associated with the sediment’s diagenesis and the nature of its interaction with the surrounding rocks. In this study we constrain water/rock ratios, temperature, pH, composition and salinity of the diagenetic fluid. In particular we model the likely alteration of olivine and amorphous, allophanelike material within Sheepbed mudstone to produce the observed phyllosilicates and Fe oxides.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 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".