Dataset for the manuscript: "Serpentinization in Jezero Crater: Comparing SuperCam Mars Data to Terrestrial Serpentinites"
Bibliographic record
Abstract
The dataset for the manuscript entitled “Serpentinization in Jezero Crater: Comparing SuperCam Mars Data to Terrestrial Serpentinites” consists of a single CSV file with 177 rows, one SuperCam observation point per row. The observation points in this file are from the SuperCam rock targets with potential serpentine detections between martian solar days (sols) 1 and 1430. Metadata and compositional data are provided for each row. The metadata includes the LIBS spectrum filename; the LIBS target; the name of the region the target is located; a binary column indicating whether or not the point was included in the Mg# calculation (soil, vein, and coating points were excluded); the observation point number within the sequence; the SuperCam-to-target distance (in mm); the laser power used for the LIBS measurements; and the spectrum totals. The compositional data includes the oxide chemistry (oxide wt.%) and shot-to-shot standard deviation for the major oxides SiO2, TiO2, Al2O3, FeOT, MgO, CaO, Na2O, and K2O; the sum of oxides for each observation point is also provided.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.063 | 0.079 |
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".