Case Study: Production of Biodiesel from Frying Oil for Use in Employees Transport Minibuses Inside Fiat's Plant in Brazil
Bibliographic record
Abstract
<div class="section abstract"><div class="htmlview paragraph">When not disposed properly, the frying oil from the household or restaurants may cause clogging of waste drainage pipes and sewage systems, water contamination and soil sealing. The production of biodiesel from frying oil and its utilization for energy generation is a potential alternative to disposal, adding value to this waste and using it as an energy source. This article presents a case study of a proposal to produce biodiesel from frying oil for fuel up vehicles used to the employees transport inside Fiat's plant in Betim, Brazil. Besides the technical and economic evaluation, a life cycle assessment (LCA) was performed to examine the environmental viability of producing the biodiesel from cooking oil and its use for fuel up the minibuses replacing conventional diesel B5 for B50.</div></div>
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".