Performance Analysis and Improvement on the Existing Ground Station for JC2SAT Mission
Bibliographic record
Abstract
This paper details the analysis for system performance requirements and improvements of a fully capable ground station for Japan Canada Joint Collaboration Satellite(JC2Sat) mission based on the existing satellite ground station at University of Toronto Institute for Aerospace Studies Space Flight Laboratory(UTIAS/SFL). The ground station for current ongoing mission which is called Canadian Advanced Nanospace eXperiment(CanX) program is being supported in the UTIAS/SFL premises for his nature. In order to demonstrate the feasibility of the existing UTIAS/SFL ground station for JC2Sat mission, the RF link budget was first analyzed based on JC2Sat RF characteristics and mission concept. Some parts of current ground station are not optimized with respect to system automation of JC2Sat operation. In this case, a higher level of automation of the ground station needs to be developed both to track satellite and to monitor the system running status.
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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 | 0.000 |
| 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".