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
A renewed global interest in nuclear power, the so-called nuclear renaissance, is underway. Energy demand continues to rise, and it is now recognized that nuclear energy will be required to meet this demand. The long-term environmental sustainability of expanded nuclear power production will require more efficient processes for the conversion of uranium to energy. Thus, for purposes of increased efficiency of energy production and to reduce the amount of waste interred in a repository it is likely that the reprocessing of spent nuclear fuel, or “closed” fuel cycle, will be more widely adopted in the future. This will be a major component of the development of environmentally sustainable nuclear power. This chapter introduces the symposium book documenting the latest research from around the world with a goal of creating an environmentally sustainable nuclear power industry. Held 16-20 August, 2009 in Washington DC, USA, the symposium hosted scientists from the fuel cycle countries of Canada, China, Germany, Sweden, France, Japan and the USA. The scientists in attendance presented plans and progress for the aqueous separation of fission products and the minor actinides to improve the efficiency of power generation and to minimize the amount of material requiring geological disposal.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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