Terrestrial Analogues to Mars and the Moon: Canada’s Role
Bibliographic record
Abstract
Terrestrial analogues are places on Earth that approximate, in some respect, the geological, environmental and putative biological conditions on a particular planetary body, either at the present-day or sometime in the past. Analogue studies are driven by the need to understand processes on Earth in order to interpret and groundtruth data sent back from Mars and other planetary bodies by unmanned orbiters and rovers. This presents an ideal opportunity to further collaboration between the solid earth and planetary science communities in Canada and elsewhere. Analogue environments also provide a critical locale for optimizing exploration requirements and strategies for future manned missions to the Moon and Mars. The ideal geography and climate, a wide diversity of analogues sites, and a history of analogue activities, ensures that Canada can play a leading role in the expanding international use of terrestrial analogues sites. SOMMAIRE Les analogues terrestres sont ces endroits sur la Terre qui possede jusqu’a un certain point, les conditions geologiques, environnementales ou biologiques presumees d’un corps celeste, actuelles ou passees. Les etudes d’analogues terrestres sont necessaires pour comprendre le fonctionnement de certains processus sur Terre afin de permettre l’interpretation et la validation sur site temoin de donnees recues d’orbiteurs non-habites ou de robots mobiles d’exploration. C’est la une occasion ideale d’accentuer la collaboration entre les communautes des sciences planetaires et celles des geosciences au Canada et ailleurs. Les milieux d’analogues constituent aussi des endroits importants permettant d’optimiser les besoins et les strategies d’exploration de missions habitees vers la lune et Mars. De par ses caracteristiques geographiques et climatiques ideales, sa grande diversite de sites d’analogues, et son histoire d’activites analogues, le Canada est assure de jouer un role de chef de file dans l’utilisation internationale croissante de sites d’analogues terrestres.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.025 | 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".