Analytic Tool Correlation Status for the Joint Multi-Role Technology Demonstrator Program
Bibliographic record
Abstract
The fundamental objectives of the Joint Multi-Role Technology Demonstrator (JMR TD) Air Vehicle Development program are to mature critical technologies as well as analysis tools for Future Vertical Lift (FVL). This paper summarizes the current status of analytic tool correlation performed by the Sikorsky and Boeing JMR Team. The toolset spans the disciplines of aerodynamic performance and external acoustics, dynamics and stability, handling qualities, and loads. The validation database currently includes XH-59A flight test, X2 TECHNOLOGY™ Demonstrator flight test, S-97 RAIDER® wind tunnel tests, and SB>1 DEFIANT™ Aircraft wind tunnel tests. Future planned work is discussed including additional correlation against Powered System Test Bed (PSTB), SB>1 DEFIANT™ Aircraft flight test, and S-97 RAIDER® flight test. The maturity of the toolset at the completion of the program will be sufficient for accurate predictions of X2® architecture aircraft capabilities that meet or exceed the requirements of the FVL Capability Set 3 (CS3) class.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.039 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".