Field Studies of Mars Analog Materials Using a Portable XRD/XRF Instrument
Bibliographic record
Abstract
P. Sarrazin, W.Brunner, D. Blake, M. Gailhanou, D. L. Bish, D.Vaniman, S. Chipera, D.W. Ming, A. Steele, I. Midtkandal, H.E.F.Amundsen, R. Peterson, inXitu Inc., 2551 Casey Ave Ste A, Mountain View, CA 94043 psarrazin@inxitu.com; NASA Ames Research Center, Moffett Field, CA 94035; TECSEN, UMR CNRS 6122, Universite Paul Cezanne, 13397 Marseille, France; Dept. of Geological Sciences, Indiana Univ., Bloomington, IN 47405-1405; Earth & Env. Sciences, Los Alamos National Laboratory, Los Alamos, NM 87545; Chesapeake Energy Corporation, 6100 N. Western Ave, Oklahoma City, OK 73118; NASA Johnson Space Center, Mail Code KX3, Houston, TX 77058; Department of Geosciences, University of Oslo, Oslo, Norway; Earth and Planetary Exploration Services, University of Oslo, Oslo, Norway; Department of Geological Sciences and Geological Engineering, Queen’s University, Kingston, Ontario, Canada, K7L3N6.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".