Visualization of Thermals in a Heated Turbulent Boundary Layer
Bibliographic record
Abstract
Photo Gallery Visualization of Thermals in a Heated Turbulent Boundary Layer Kadeem Dennis, Kadeem Dennis Department of Mechanical and Materials Engineering, University of Western Ontario, London, Ontario, Canada e-mail: kdennis5@uwo.ca Search for other works by this author on: This Site PubMed Google Scholar Kamran Siddiqui Kamran Siddiqui Department of Mechanical and Materials Engineering, University of Western Ontario, London, Ontario, Canada e-mail: ksiddiq@uwo.ca Search for other works by this author on: This Site PubMed Google Scholar Author and Article Information Kadeem Dennis Department of Mechanical and Materials Engineering, University of Western Ontario, London, Ontario, Canada Kamran Siddiqui Department of Mechanical and Materials Engineering, University of Western Ontario, London, Ontario, Canada e-mail: kdennis5@uwo.ca e-mail: ksiddiq@uwo.ca J. Fluids Eng. Jun 2023, 145(6): 060903 (1 pages) Paper No: FE-23-1064 https://doi.org/10.1115/1.4057067 Published Online: March 10, 2023 Article history Received: February 9, 2023 Revised: February 28, 2023 Accepted: March 1, 2023
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 |
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 teacher head, 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".