Prospect of Renewable Energy due to COVID-19 and Opportunity for Transition to Future Fuels
Bibliographic record
Abstract
enewable energy is the energy of the future because it is the best long-term alternative for fossil fuels, which are facing numerous issues, particularly from an environmental standpoint. The world has established a number of targets to address the issues posed by the conventional energy sector. The United Nations has set 17 Sustainable Development Goals (SDGs) to be achieved by 2030; previously, many countries were not on track to meet these goals; however, the Covid-19 pandemic, which not only affected people's health, but also the energy sector, has demonstrated how quickly we are accustomed to change and can respond quickly and collectively with a common goal. As a result, the focus of this article is on the COVID-19's influence on the RE industry and its implications for future greener fuels. We talked about the opportunities that have arisen as a result of the COVID-19 situation that can help with the shift to alternative fuels. Finally, the problems and opportunities facing the creation of more environmentally friendly transportation fuels are identified.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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 source (direct Gemma or distilled Codex), 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".