A numerical study on the effect of ventilation on fire development in a medium-sized residential room
Bibliographic record
Abstract
A number of fire ventilation scenarios were investigated to identify the proper ventilation scheme for conducting design fire tests in a 4.2 m long, 3.8 m wide, and 2.4 m high compartment. The work was part of the process of designing fire experiments for fires in various rooms in low-rise residential dwellings of light-frame construction to assess the ignition, growth, fully-developed, and decay stages of fire in relation to ventilation rate. The ventilation schemes were provided by using different sizes of windows, doors, or both. The fuel package used, a mock-up sofa with two wood cribs below, was based on the statistical evidence that many fatal residential fires begin with an item of upholstered furniture. The Computational Fluid Dynamics (CFD) technique was used to conduct the numerical investigation for the study. The Fire Dynamics Simulator (FDS), Version 5, was used to conduct the numerical simulations. The report presents the numerical predictions for different ventilation scenarios.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".