Canadian Food Production Subsystem Designs for a Lunar Agriculture Module - Ground Test Demonstrator (LAM-GTD)
Bibliographic record
Abstract
The ability to produce fresh food in situ will be a beneficial addition to the future of sustainable lunar surface exploration, reducing reliance on traditional physiochemical life support systems and pre-packaged food supplies from Earth. To advance Controlled Environment Agriculture technologies and crew operations in preparation for a Lunar Agriculture Module, the Canadian Space Agency and the German Aerospace Center have conceptualized and progressed the design of a Lunar Agriculture Module - Ground Test Demonstrator. The purpose of this high-fidelity demonstrator would be to increase the technology readiness levels of all major greenhouse subsystems, simulate crew operations, and inform engineering requirements for an eventual lunar surface design. Canada will contribute to the design of several key subsystems, including the Nutrient Delivery System, the Light Control System, the Versatile Assistant robotic arm, a Plant Health Monitoring System, and technologies that could improve confidence in the module's food safety processes. This paper outlines the progress made to date on these key subsystems and how our teams intend to use the Lunar Agriculture Module - Ground Test Demonstrator to prepare for the challenge of a Lunar Agricultural Module.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".