Bibliographic record
Abstract
The small-scale statistics of orificed, perforated plate (OPP) turbulence was studied over a range of Reynolds numbers based on Taylor microscale, Re λ , from 23 to 108. The streamwise velocity skewness, flatness, and the velocity spectra, deduced from hot-wire measurements taken at 70 D (where D is the diameter of the holes of the OPP) downstream of the OPP confirmed the turbulence to be quasi-isotropic. Application of the extended self-similarity concept enabled the analysis of the velocity structure functions of the small-scale statistics up to the sixth order. The ESS analysis revealed a large stretch of scaling region, despite the absence of a perceptible Kolmogorov inertial subrange. The values of the scaling exponents seem to affirm the superiority of the OPP over conventional grid in generating quasi-isotropic turbulence. The effects of Re λ on the extent of the scaling range and the scaling exponent were also explored.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".