LANTR/ISPP-based space transportation for moon/Mars missions. I - Analysis
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
The search for high-leverage propulsion technologies for human lunar and Mars missions lias turned up several nearand longer-term candidates. Among those expected to be available within ten years of beginning an advanced technology development program are the Nuclear Thermal Rocket (NTR) engine and In Situ Propellant Production (ISPP). Each of these concepts has considerable history in studies and experimentation. Some of our recent studies indicate even greater potential when the two technologies are combined. NASA lias proposed that a LOX-Augmented NTR (LANTR) small engine concept and tanks designed for use on lunar stages could also be used for Mars vehicle configurations, and that the tanks could be filled with propellants from the Moon, Phobos, or Mars as appropriate for the return trip. This approach preserves the strategy of using a few common design elements for both lunar and Mars missions, while also making a significant mass performance improvement for the Mars return stage. This paper describes the analysis used to evaluate the mission performance, cost, and transportation infrastructure implications of LANTR and ISPP for lunar and Mars missions. Current planning guidelines and assumptions are also documented. A companion paper [1] presents the results of this steady-state analysis of Earth-Moon and Earth-Mars in-space transportation.
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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) | 0.001 | 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) | 0.002 | 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