Effect of Biodiesel Fuel Properties and Its Blends on Atomization
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<div class="htmlview paragraph">Biodiesels are promising alternatives to diesel fuel since they are biodegradable, non-toxic and reduce air pollution. This study presents analytical comparisons of atomization characteristics of 3 types of biodiesels and 6 blends with Diesel No. 2. Results showed that the smallest and largest drop sizes were associated with coconut and peanut biodiesel blends, respectively. Using unblended biodiesels increases drop size by 40%, which indicates either custom nozzles should be used in such applications or blending is required to reduce surface tension and viscosity to enhance atomization. Knowledge of atomization of pure biodiesel and its blends as alternative fuels in diesel engines can lead to better design of diesel engine injectors to meet regulatory emission guidelines and engine performance.</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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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