Challenges in lipid production from lignocellulosic biomass using <i>Rhodosporidium</i> sp.; A look at the role of lignocellulosic inhibitors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The use of lignocellulosic biomass biofuels is an attractive alternative because they do not put food safety at risk, they are a renewable source, and their use is limited. The use of microorganisms has now become more widespread to take advantage of the carbohydrates present in this raw material (cellulose and hemicellulose) and the products of its hydrolysis (glucose, xylose, arabinose, galactose, and mannose). The fatty acids obtained from oleaginous microorganisms are potential sources for the production of drop‐in biofuels. Rhodosporidium sp. is an oleaginous yeast that accumulates up to 70% of its biomass in the form of lipids and is highly adaptable to different types of substrates. This review discusses the different factors and challenges (genetic modification of strains, pretreatments, and inhibitor effects) in obtaining lipid from lignocellulosic biomass using Rhodosporidium sp. © 2018 Society of Chemical Industry and John Wiley & Sons, Ltd
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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 | 0.000 |
| 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 it