Sustainable Petroleum Supply Chains created during economic crisis in response to US government policies
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
Coronavirus disease (COVID-19) and the Saudi Arabia-Russia Oil Price War have created economic catastrophe. This crippled the US sustainable petroleum supply chain (SPSC), which is created in response to government policies, as a solution to global warming and achieving energy independency. Government and investors are striving to rescue the SPSC from bankruptcy. This motivated us to investigate creating a robust SPSC. Thus we extended the risk neutral study performed by Ghahremanlou and Kubiak (2020a) for regular economic conditions. To that end, we propose a risk averse approach by applying conditional value-at-risk (CVaR) and developing a two-stage stochastic programming model. We conduct a case study in Nebraska and provide investment decisions that can withstand economic crises. Our results show that for the survival of the SPSC, government must at least consider 2.151 $/gal tax credit for US cellulosic bioethanol blended with gasoline, and push the blend wall to at least 15%.
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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) | 0.000 | 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 | 0.001 |
| 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