AIM Microsatellite Platform: A Canadian Multi-Mission Satellite Bus Solution
Bibliographic record
Abstract
Over the past four years, COM DEV has been developing the AIM (Advanced Integrated Microsatellite) satellite bus in order to address missions and user applications that can be met by a spacecraft in the 100 kg class. AIM will serve as a platform for both research and operational missions with a design that meets or exceeds the Canadian Space Agency Multi-Mission Microsatellite Bus (MMMB) requirements and has further enhancements targeted towards increasing its operational utility. A key feature of the AIM bus is the ability to accommodate various mission requirements with a flexible, modular design that distinctly separates the payload module from the bus module. The “open box” structure of the AIM bus maximizes the available mounting area for payloads and subsystems, and also allows easy access for assembly, integration and testing. The platform has an A-side/B-side configuration providing a single-fault tolerant architecture. The AIM bus has been selected as the platform for M3MSat (Maritime Monitoring and Messaging Microsatellite), a joint mission of the Canadian Space Agency (CSA) and Defence Research and Development Canada (DRDC), and is being considered for use in a number of other missions, including the QEYSSat mission. The bus is the result of a joint collaboration between COM DEV Ltd. and the University of Toronto Institute of Aerospace Studies/Space Flight Laboratory (UTIAS/SFL). This paper describes the satellite bus and design and touches upon the ongoing M3MSat development as well as potential future missions.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".