Design And Development Of A Multi-Color Soot Emission Diagnostics To Measure Soot Temperature And Concentration
Why this work is in the frame
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Bibliographic record
Abstract
<div>In this paper, temperature of the soot particles from the flame was determined using line of sight attenuation setup. The emission from the soot particles of the flame will be filtered using a three color pyrometry, in which three slits of different wavelengths will be placed in front of the AP-3200T-USB camera. The author did not use spectrometer to filter the wavelengths because, a spectrometer would give a spectrum consisting of 15 different colors, which is not required in this experiment, since calculation of temperature of the soot only requires two colors to be filtered from the soot. Each wavelength corresponds to RED, BLUE and GREEN color respectively. After the soot emission images are captured in all the three wavelengths, three images will be obtained from the camera. For reading these images, MATLAB code was used, and the pixel intensity values were read from which temperature could be calculated.</div>
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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 | 0.000 | 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 | 0.000 | 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 it