Fractionating of synthetic biology waste stream into nutrient rich extract for cosmetic industry
Bibliographic record
Abstract
Amyris is a world-leading manufacturer of sustainable ingredients producing environmentally friendly products. Biofene (or trans--farnesene) is a synthetic biology derived product using yeast fermentation of sugarcane. This production originates spent broth, an aqueous waste stream typically applied to land by fertirrigation. On one hand, spent broth contains recoverable added-value compounds; on the other hand, an improper disposal of this waste stream could result in negative effects and give rise to environmental concerns. Hence the importance of implementing the bio-waste refinery and circular bio-economy concepts for recovering high-value bio-products. Cosmetic industries are committed to find natural, sustainable, and functional ingredients meeting consumer's and entities rigorous demands. Spent broth may be a source of such ingredients. Thus, the objective of this work was to assess the fractionation of the spent broth stream from Biofene production to obtain a concentrated nutrient rich extract with potential application on cosmetics.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".