Full Configuration Low Boom Model and Grids for 2014 Sonic Boom Prediction Workshop
Bibliographic record
Abstract
A conceptual supersonic transport design, identified as 1021-01, was developed for the NASA N+2 Supersonic Validations program. It was designed to produce very low sonic boom. A wind tunnel model was fabricated and tested to validate the predicted low sonic boom. An efficient “spatial averaging” measurement technique was used to handle distortions endemic to low sonic boom wind tunnel measurement, resulting in measurements precise enough to match predicted ground loudness within 1 PLdB. It was decided this model and data would make a good case for the 2014 Sonic Boom Prediction Workshop. Model development details and flow prediction challenges encountered during development are illustrated. Test oil flow visualization is shown to guide analyses, especially with regard to viscous boundary layer modeling. Viscosity was not important at fullscale but was found to be important at wind tunnel model scale (1/125). Geometry and grid files are expected to be available on the workshop website by 31 January 2013.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".