Analysis on Production and Application Situation of Fuel Ethanol at Home and Abroad
Bibliographic record
Abstract
The production and application situation of fuel ethanol at home and abroad were introduced.The total output of fuel ethanol in America and Brazil accounted for 69% of global total output.Thereinto,the share of America accounted for 33%,consumption of fuel ethanol in 2006 was 15.14 million tons in the United States;Brazil accounted for 36%,its output was 12.65 million tons.Meanwhile,the application situation of fuel ethanol in European Union,Canada,Japan,India and Thailand were introduced in brief.In 2006,China's consumption of fuel ethanol was 1.1 million tons,up to the end of 2006,the domestic capacity of fuel ethanol was 1.63 million tons per year.The technologies for production of fuel ethanol based on different raw materials namely,corn,cassava,molasses,sweet grain sorghum and straw were introduced separately.Finally,some suggestions on development of China's fuel ethanol were put forward.
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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 | 0.000 |
| 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) | 0.000 | 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 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".