The UOIT Automotive Centre of Excellence - Climatic Test Facility
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<div class="section abstract"><div class="htmlview paragraph">The University of Ontario Institute of Technology (UOIT) is the home of the General Motors of Canada Automotive Centre of Excellence (ACE), a university owned and operated facility that is funded by the university and the provincial and federal governments of Canada. As such, ACE is available to all automotive manufacturers (OEM's), Tier 1 suppliers, university researchers, or any other industry requiring the need for independent research and development test capability.</div><div class="htmlview paragraph">A large climatic wind tunnel is the signature feature of ACE, which also includes climatic chambers (one of which is a high feature chamber), a climatic 4-post shaker test cell and a hemi-anechoic chamber equipped with a multi-axis shaker table. Some key design features of the climatic wind tunnel include a variable nozzle geometry (from 7 m₂ to 13 m₂), a chassis dynamometer inserted in an 11.7 meter turntable, a boundary layer control system and circuit acoustic treatment for low background noise levels. The climatic wind tunnel performance envelope covers wind speeds up to 250 km/h, temperature range from -40°C to +60°C, relative humidity from 5% to 95%, and the test section is equipped for solar, rain and snow simulation.</div><div class="htmlview paragraph">This paper provides an introduction to the ACE facility and presents the results of the aerodynamic commissioning program. The climatic performance and flow quality test results of the wind tunnel are given, as well as the climatic performance for each chamber.</div></div>
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it