An Experimental Study of the Effect of Thermal Radiation Feedback on the Room-Burning Behaviour of Horizontal Slabs of Polyurethane Foam
Bibliographic record
Abstract
This report presents the results of three fire experiments (one free-burn and two room tests) that were carried out to investigate the influence of thermal radiation feedback on the rate of surface flame spread and heat release rate (HRR) for a horizontal block of furniture-grade non-fire-retarded polyurethane foam measuring 1200 x 600 x 200 mm and weighing approximately 4.8 kg. The room tests were conducted in a small compartment measuring 2400 mm wide x 2800 mm deep x 2400 mm high with a rectangular vent (opening under a calorimeter hood) measuring 740 mm wide x 1500 mm high (a ventilation limit of approximately 2000 kW) located in one of the 2400 mm walls. The room was lined with one of two different non-combustible materials - 12.7 mm thick cement board or 50 mm thick mineral wool insulation - with substantially differential thermal inertias in order to subject the test specimen to one of two thermal environments. Measurements were taken to quantify the temporal variation of heat release rates (HRRs), smoke density, radiant heat flux, temperatures and the concentration of O2, CO2 and CO in the test room. The tests were also recorded using an infrared camera in order to determine the surface rate of flame spread.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.002 | 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".