Bibliographic record
Abstract
Generation IV nuclear reactors are designed to be safe, economical and to produce minimal radioactive waste material. The present book reviews the various categories of Generation IV reactors and their applications, providing an overview of the physics of nuclear power reactors and describing the technology behind each of the six Generation IV designs. It describes past progress in each of these technologies and summarizes current research and development activities. It gives an evaluation of the advantages and disadvantages of each design and summarizes the ways in which each satisfies the criteria specified by the Generation IV International Forum. This book provides an overview of the environmental aspects of nuclear power, an introduction to the physics of fission reactors and a summary of the drawbacks of current reactor designs. Key features • Provides an overview of how nuclear fission power can contribute to future low-carbon energy sources. • Discusses the environmental aspects of nuclear power, the physics of fission reactors and the drawbacks of current reactor designs. • Provides a detailed technical description of potential Generation IV fission reactors. • Analyses how each Generation IV reactor design deals with current reactor drawbacks. • Reviews previous work and current status of each Generation IV reactor design. • Considers the possibility and timescale for commercial development of each design.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.056 | 0.040 |
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".