The Performance Of Clostridium Phytofermentans For Biofuels Production From Lignocellulosic Biomass
Bibliographic record
Abstract
Ethanol produced from lignocellulosic biomass is an alternative transportation fuel with the potential to lower greenhouse gas emissions and increase energy security. Source-separated organic waste (SSO) from the city of Toronto was investigated for feasibility as a lignocellulosic ethanol feedstock. Clostridium phytofermentans is a mesophilic, cellulolytic and ethanologenic species with potential application for ethanol production from lignocullulosic biomass. C. phytofermentans was considered for biofuels production through experiments on a variety of substrates including soluble sugars and pure celluloses. Results from this study found that C. phytofermentans produced 73% of the theoretical ethanol yield on cellobiose but grew poorly on glucose and xylose. In addition, C. phytofermentans grew marginally on microcrystalline and ball-milled cellulose, but with supplemental enzymes produced 55% of the theoretical ethanol yield.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.001 | 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 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".