Cold\nTemperature Limits to Biodiesel Use under Present\nand Future Climates in North America
Bibliographic record
Abstract
Cold weather operability is sometimes\na limiting factor in the\nuse of biodiesel blends for transportation. Regional temperature variability\ncan therefore influence biodiesel adoption, with potential economic\nand environmental implications. This study assesses present and future\nbiodiesel cold weather operability limits in North America according\nto temperature data from weather stations, atmospheric reanalysis,\nand global climate models with highest resolution over Ontario, Canada.\nFuture temperature projections using the RCP8.5 climate change scenario\nshow increases in the potential duration for certain seasonal fuel\nblends. For example, biodiesel blends whose cloud point temperature\nis −9 °C may expand their duration by 3–7% in North\nAmerica for nonwinter seasons according to projections for 2040. Cloud\npoint specifications among supply orbits in Ontario increase up to\n+6 °C during nonwinter seasons, with most increases observed\nin Fall and Spring. In winter, however, the modeling suggests no change\nin Ontario cloud point specifications because the coldest temperatures\nby mid-century are not significantly warmer than the past climate\nnormal according to our climate simulations. This study provides a\nquantitative analysis on biodiesel usage scenarios under a changing\nclimate, including Ontario region geographic temperature clusters\nthat could prove useful for biodiesel blend-related decision-making.
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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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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".