Biomass Commercialization Prospects the Next 2 to 5 Years; BIOMASS COLLOQUIES 2000
Bibliographic record
Abstract
A series of four colloquies held in the first quarter of 2000 examined the expected development of biomass commercialization in the next 2 to 5 years. Each colloquy included seven to ten representatives from key industries that can contribute to biomass commercialization and who are in positions to influence the future direction. They represented: Corn Growers, Biomass Suppliers, Plant Science Companies, Process Engineering Companies, Chemical Processors, Agri-pulp Suppliers, Current Ethanol Producers, Agricultural Machinery Manufacturers, and Enzyme Suppliers. Others attending included representatives from the National Renewable Energy Lab., Oak Ridge National Laboratory, the U.S. Department of Energy's Office of Fuels Development, the U.S. Department of Agriculture, environmental groups, grower organizations, and members of the financial and economic development community. The informal discussions resulted in improved awareness of the current state, future possibilit ies, and actions that can accelerate commercialization. Biomass commercialization on a large scale has four common issues: (1) Feedstock availability from growers; (2) Large-scale collection and storage; (3) An economic process; (4) Market demand for the product.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 | 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; both teacher heads agree on what is shown here.
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".