Trade Study for a Mars Surface Mission Bulk Commodity Supply Scenario: Processed Peanut Oil Versus Bulk Oil
Bibliographic record
Abstract
<div class="htmlview paragraph">A comparison of resource cost was made between processed peanut oil and a bulk supply of peanut oil within a reference menu using nominal yield values from literature and equivalency factors from the Exploration Life Support (ELS) Baseline Values and Assumptions Document (BVAD). Results of the comparison show a potential mass savings of up to 496.3 kg if a bulk supply of oil were to replace processed peanut oil within identified recipes. Direct comparison of processed peanut oil and bulk oil commodities shows the cost-to-launch value for processed peanut oil will be 3.2 times greater than a bulk supply. This replacement would also remove 164.4 kg of solid waste generated through peanut processing. These values and the general versatility of a bulk supply of oil indicate that recipes under the bulk commodity supply scenario should use a variety of oils.</div>
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".