Smoke development and movement during <scp>ventilation‐limited</scp> fires in a multi‐storey house
Bibliographic record
Abstract
Summary Modern energy efficient homes in Canada are well‐sealed, having less air leakage and moisture propagation through the building envelope compared with older homes. From a fire safety perspective, it is unclear how this change influences the dynamics of house fires, including: heat release rate, flame spread, species production and smoke transport. Although previous studies have determined that better sealed structures tend to lead to ventilation‐limited fires, there is a dearth of research on this topic. Yet, it is important to understand the evolution of fires in energy efficient buildings to assess both physical and safety implications associated with this type of construction. This article presents results of species concentrations and smoke evolution during nine instrumented, large‐scale, ventilation‐limited and two‐storey residential furniture fire experiments. As the smoke layer descended, it impacted heat release rate of the fires. Oxygen concentrations on the main floor of the structure sequentially decreased to around 5%. Measurements of gas transport at the stairwell connecting the floors of the structure provided new information about how oxygen was drawn from different areas of the structure during growth of the fire. These results provide novel insight into the growth and impact of fires in modern energy efficient homes.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".