Product developments in the bio‐based chemicals arena
Bibliographic record
Abstract
Abstract Around the world, significant able steps are being taken to move from today's fossil‐based economy to a more sustainable economy based on biomass. A key factor in the realization of a successful bio‐based economy will be the development of biorefinery systems allowing highly efficient and cost‐effective processing of biological feedstocks to a range of bio‐based products, and successful integration into existing infrastructure. The recent climb in oil prices and consumer demand for environmentally friendly products has now opened new windows of opportunity for bio‐based chemicals and polymers. Industry is increasingly viewing chemical and polymer production from renewable resources as an attractive area for investment. Within the bio‐based economy and the operation of a biorefinery, there are significant opportunities for the development of bio‐based building blocks (chemicals and polymers) and materials (fiber products, starch derivatives, etc.). In many cases this happens in conjunction with the production of bioenergy or biofuels. The production of bio‐based products could generate US $10–15 billion ofrevenue for the global chemical industry. The economic production of biofuels is often a challenge. The co‐‐production of chemicals, materials food and feed can generate the necessary added value. This paper highlights all bio‐based chemicals with immediate potential as biorefinery ‘value added products’. The selected products are either demonstrating strong market growth or have significant industry investment in development and demonstration programs. The full IEA Bioenergy Task 42 report is available from http://www.iea-bioenergy.task42-biorefineries.com © Her Majesty the Queen in Right of Canada 2012
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.041 | 0.016 |
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".