Bibliographic record
Abstract
Recent advancements in small and medium scale wind turbines as well as unmanned aerial vehicles brought about an increased interest in airfoil operation at chord Reynolds numbers below about 500,000. Airfoil performance in this domain of Reynolds numbers differs significantly from that common to classical aerodynamics. In particular, a laminar boundary layer on the suction side of the airfoil often separates even at low angles of attack, which detrimentally affects airfoil performance. The severity of performance degradation depends significantly on separated shear layer development. The shear layer is inherently unstable and undergoes transition to turbulence downstream of separation, which can lead to flow reattachment and the formation of a separation bubble. The associated flow dynamics plays a key role in the overall flow development over the airfoil. The seminar will present an overview of recent experimental studies that aim to provide a holistic outlook on separation bubble dynamics and its response to forcing. Moderated by Professor Tropea, the webinar will be hosted at 7am PDT, 10am EDT, 3pm BST, 4pm CET, 7:30 IST, 10pm CST
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".