Anaerobic Digestate Management
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 book aims to analyse and discuss the conventional and emerging treatments of digestate generated in the anaerobic treatment of organic waste. Thus, in the circular economy framework, the book will address up-to-date strategies for the treatment and resource recovery from anaerobic digestate. Anaerobic digestion is an expanding technology nowadays, especially when considering the thrust in ongoing research on the value-added products and energy recovery from biomass wastes, i.e., sludges, agro-industrial waste, animal waste, food waste and organic fraction of municipal solid waste, etc. Anaerobic digestate is a leftover and waste management authorities across the world do not have so many options for digestate management except using the digestate for land application as a fertilizer or composting. However, researchers and field engineers are still looking for robust options for digestate management. Thus, a timely book on digestate management will be an invaluable addition to this domain. The key features of the book include: the broad range of biomass waste covered, discussion of conventional to advanced technological options, and the inclusion of successful case studies. ISBN: 9781789062748 (paperback) ISBN: 9781789062755 (eBook) ISBN: 9781789062762 (ePub)
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.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it