Design of a Portable Soil Analysis Instrument for Remote Teleoperated Rover Platforms
Bibliographic record
Abstract
The search for extant life has long been an interest since people have been able to successfully explore other worlds. However, on space missions, experiments must be performed autonomously, with limited resources, and a carefully selected suite of instruments. Instruments are additionally constrained by weight, reliability, and size which limits use of many modern advanced systems. The Queen’s Space Engineering Team (QSET) is proposing the design of a portable (12” x 12” x 12”) instrument to identify signs supporting extant life aboard a mobile rover platform during exploration missions. The instrument will receive soil samples collected by the rover, analyse the composition to identify key molecules, and transmit data back to a ground station. This system relies on colorimetric measurements using a UV-VIS spectrometer and features a solvent recycle system to minimize weight and waste. This project is part of a larger environment characterisation module to be mounted on a Mars rover system designed for competition at the University Rover Challenge (URC) at the Mars Desert Research Station (MDRS) in Utah. As of this date, each subsystem has successfully passed performance testing and the entire instrument is entering its system-level prototyping stage.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".