Novel Approach to Characterizing Tare & Interference Effects on the Lockheed Martin CRANE Wind Tunnel Model
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Bibliographic record
Abstract
View Video Presentation: https://doi.org/10.2514/6.2023-2494.vid A novel approach for identifying and quantifying wind tunnel strut interference effects was developed for a wind tunnel test with the Lockheed Martin DARPA CRANE model. The large-scale wind tunnel measurements were done at the Wichita State University National Institute for Aviation Research Beech Wind Tunnel facility. A smaller model that included a replica of the support strut was used in the Lockheed Martin Low-speed 2 Wind Tunnel that measured the force and moment distortions created by the presence of the support strut. Differences in Reynolds numbers between the large- and small-scale facilities were determined to be insignificant to the strut interference corrections. As a result, high-quality aerodynamic force and moment data were obtained from the NIAR Beech Wind Tunnel test, which resulted in excellent agreement with computational fluid dynamic simulations.
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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 | 0.001 |
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