Dataset of temperature, heat flux and infrared emission from flat premixed laminar methane-air flames
Bibliographic record
Abstract
To enable the use of flat flame burners in the context of fire resistance testing, we present a data set covering temperature, infrared emission and heat 15 mm above the burner. A laminar premixed methane-air flame is characterized for eleven different fuel/air ratios, ranging from lean (0.9) to rich (1.45), extending an existing a widely used reference [1]. We provide complementing flame temperature readings from thermocouple measurements that can be used for calibration. In addition, broadband flame optical emissions are acquired in the visual (VIS) and the infrared (IR) spectral region. Chemiluminescence measurements reveal the spatial distribution of the OH* radicals. Heat flux density measurements with a water-cooled gauge are also provided. Finally, the expected species concentration, velocity, temperature are obtained from chemical kinetics calculations. Ambient conditions and burner control parameters are presented as supplementary data.
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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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.006 |
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".