Bibliographic record
Abstract
Concerns about climate change and domestic energy security have resurged interest in biodiesel. A number of LCAs of biofuels have been published over the last decade, however none have focused on biodiesel fuel production pathways. In this thesis, biodiesel pathways are compared with respect to life cycle energy use, GHG emissions and land use. Jatropha curcas is a promising feedstock that could be commercially cultivated on non-arable lands in Mexico and perhaps in parts of the southern U.S. Despite such promise, the life cycle environmental performance of Jatropha biodiesel (JBD) have not been assessed for North America. This thesis models the cultivation of J. curcas in Mexico and the conversion into biodiesel for use in the light-duty vehicle fleet in the U.S. When compared to low sulphur diesel and soybean biodiesel, the LCA of JBD shows 54% and 24% lower GHG emissions, respectively, when utilized in a light-duty vehicle.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".