Evaluation of Lignocellulosic Ethanol to Fuel the USA-Canadian Light Duty Transportation Fleet
Bibliographic record
Abstract
<div class="htmlview paragraph">The most attractive non-fossil fuel for the USA-Canadian light duty transportation fleet is ethanol produced domestically from lignocellulosic agricultural feedstocks and residues. Ideally, this fuel can be produced sustainably without using any fossil fuels and without any net carbon dioxide emissions. Growing switchgrass or hybrid trees and using agricultural wastes, such as rice straw, bagasse, and corn stover, holds the potential for transforming the economies of the countries. Well-crafted programs could increase farm income, generate foreign exchange/export earnings, and result in a host of sociologic benefits, while improving environmental quality and sustainability. Five primary drivers would make a biomass ethanol industry attractive: a high petroleum price, energy security concerns, stringent greenhouse gas emissions limitations, an increase in CAFE applying to petroleum products, and a large demand for oxygenated fuels together with banning MTBE.</div>
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".