Soot emission measurement in flares by Sky-LOSA: Reduction of uncertainty in field measurements
Bibliographic record
Abstract
Sky-LOSA, an extension of Line-of-Sight Attenuation (LOSA) that is commonly used in laboratory-scale experiments for soot concentration measurements, was applied to a small flare in Poza Rica, Mexico. An average soot emission rate of 057 g/sec was obtained from 1.5 min of data. The uncertainty associated to velocity measurement was studied. Using a single ensemble averaged velocity in place of instantaneous velocity measurements synchronized with transmissivity measurements led to a 13% underestimation of the average soot emission rate. Uncertainty associated with integration along the optical axis was 7%. Sky-LOSA remains promising for investigation of particulate matter emissions in flares. This is an abstract of a paper presented at the 105th AWMA Annual Conference and Exhibition (San Antonio, TX 6/19-22/2012).
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How this classification was reachedexpand
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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".