TEMMI: a three-dimensional exploration multispectral microscopic imager for planetary exploration
Bibliographic record
Abstract
A microscope represents one of the most basic tools required for geology and astrobiology, and it is anticipated that most, if not all, future surface missions to the Moon and Mars will carry one. TEMMI (a Three-dimensional Exploration Multispectral Microscopic Imager) has been developed through a collaborative initiative, spearheaded by the Canadian Space Agency, involving two industrial partners – MacDonald, Dettwiler and Associated Ltd (MDA), and National Optics Institute (INO) – and three academic science partners – The University of Western Ontario, The University of New Brunswick and York University – to conduct geological and astrobiological investigations in Lunar and Mars analogue environments. In the fields of geology and astrobiology, the ability to capture a visual record of the terrain – from the regional (km) to outcrop (m to cm) to microscopic (mm to micrometre) scale – and of sites visited, is invaluable. Microscopy, in particular, provides the fundamental context and empirical information required to fully understand the origin and significance of samples. TEMMI can be used to study the physical and structural properties of surfaces, both of rocks, minerals and the dusty regolith to contribute to the geophysical analysis of an area and to the overall geological and mineralogical interpretation of the sites of interest. Past environmental conditions can be constructed, weathering effects on different lithologies studied, and the transportation of particles across the planetary surface mapped. Specific objectives are to: • Investigate the physical properties of minerals; • Recognize common minerals and identify unknown phases; • Understand the relationships between the internal (composition and structure) and external properties of the minerals; • Identify traces of reactions and physical conditions that affect the stability and occurrence of minerals; • Interpret the broader significance of mineral compositions and structures; • Investigate the effects of heat pressure on properties of minerals; • Constrain the sizes and shapes of regolith particles on the surface or particles precipitating out of the atmosphere. This instrument can also be used to study the morphology of a potential biological sample and identify structures that may be characteristic of past or present biological activity. TEMMI can utilize the interaction of visible and IR light with the crystalline and non-crystalline materials to detect possible biogenic material such as kerogen or fatty acids and proteins preserved within the rocks and minerals. It can also be used to identify biomolecules through UV fluorescence, create 3D images, and aid in identification of a sample return site.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".