Operations Analysis Integration for Effectiveness-Based Design in the AFRL EXPEDITE Program
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 Expanded MDO for Effectiveness Based Design Technologies (EXPEDITE) program seeks to advance multidisciplinary design, analysis, and optimization (MDAO) technologies that support obtaining complex design problems and solutions. An important part of the program goals is advancing the state of the art for effectiveness-based design (EBD). EBD uses mission scenario measures of effectiveness (MoEs) shifts away from the traditional paradigm of performance-based design, which uses aircraft performance metrics as the design objective. A feasible implementation of effectiveness-based design was created and tested across multiple mission scenarios. Details about the operations analysis framework and effectiveness-based trade study set-up are discussed. The results of multiple trade studies show a clear coupling between vehicle design variables and mission outcomes. A vehicle designed for optimal performance-based metrics differs significantly from the best effectiveness-based vehicle.
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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 | 0.001 |
| 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) | 0.000 | 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