Modelling and optimization of exhaust pollutants and the properties and characteristics of ethanol‐diesel through a statistical approach
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
Abstract This work assesses the influence of diesel additives on chemico‐physical properties (flash point, density, viscosity, and cetane number) and exhaust emissions (CO, CO 2 , nitrogen oxides, and soot). Experimental tests are performed in a 4‐cylinder turbocharged, common rail direct injection engine. Experiments are conducted in different percentages of ethanol (5 and 10 %) and nitrogenate additives (2 and 5 %). The current essay applies various types of tertiary additives (nitro methane, nitro ethane, and 2‐methoxy ethyl ether). All the compositions of ethanol in the diesel make the cetane index, flash point, density, and viscosity reduce. In contrast, these properties get enhanced by adding tertiary additives. Experimental studies demonstrate that nitro ethane is more effective on the decrease of soot emissions and the increase of CO, CO 2 , and nitrogen oxides.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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