Research and Prospect of Food Fuels Issues
Bibliographic record
Abstract
The development of biofuels is not only related to energy and environment, but also closely related to the global wealth gap and food security. In recent years, with the rapid development of the global economy and the increasing population, the demand for energy is also increasing. At the same time, due to the negative impact of the use of fossil fuels on the environment, more and more people are beginning to consider using biofuels as substitutes. As a kind of biofuel, grain fuel has attracted more and more attention. Food VS Fuel has been a dilemma over the years. But when biofuels are used correctly, society cannot ignore the positive effects it brings, such as reducing greenhouse gas emissions, resulting in environmental and social benefits. Of course, society cannot accept the negative effects of biofuels, such as wasting more fossil energy for refining biofuels, and at the same time, due to grain shortages, world grain prices continue to rise. Due to the exhaustion of non-renewable energy and the requirements of environmental protection, biofuels have gradually become the new favorite of alternative energy sources. As an important source of biofuel, grain has also attracted people's extensive attention. This review will comment on and look forward to the problem of food fuel, including crops that can be used as fuel, the existing problems of food fuel, the related background and development status of biofuels, the impact of food fuel on grain prices, and the summary and prospect.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".