Validation of rooftop wind measurements in the urban environment: three-dimensional digital models of wind-tunnel configurations
Bibliographic record
Abstract
The National Research Council Canada (NRC) is engaged in a multi-year project with Transport Canada to characterize urban flow fields and to understand better the influence of typical urban flow structures on small Remotely Piloted Air Systems (sRPAS) operating in the urban environment. A study conducted in 2023 involved a field test and a wind-tunnel test of the same site in downtown Montréal, Canada (Barber, et al., 2023). The goal of the study was to acquire urban airflow data in a real environment in order to validate urban airflow characteristics from model-scale testing. Sonic anemometers were installed on rooftops in Montréal and the wind measurements from three of these rooftop-anemometers were compared to wind-tunnel tests using a 1:300-scale model. The supplementary material provided in this document includes three-dimensional (3D) digital models of the urban environment near the anemometers used for validation in the current study.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".