Improving the Constellation Mission Control Center System Design Using Integrated Executable Architectures and Visualization
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A systems engineering approach, called CONOPS Simulation, which combines integrated architecture development, discrete event simulation, and graphical visualization into a fully traceable simulation is presented in this paper. This approach allows analysis of architectural alternatives and is also an effective communication tool for describing concepts of operations to an audience of various backgrounds and discipline expertise. Details of the process for developing a CONOPS Simulation are discussed, including the architectural diagrams required, translation of the architecture to a discrete event simulation engine, and different types of real-time visualizations that can be incorporated into the simulation. To further help in understanding the approach, a case study is given demonstrating the use and benefits of CONOPS Simulation to the NASA Mission Operations Directorate as a tool to explore new concepts and architectures for ground operations in support of human spaceflight.
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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 it