Bibliographic record
Abstract
Various scenarios for development of the world uranium industry are considered, and an assumption is made of a high probability of the rapid growth scenario, according to the IAEA, which assumes an annual growth rate of the total nuclear power plants (NPPs) capacity of 2-2.5%. Based on this forecast, an assessment is made of capabilities of the uranium world mineral base to meet the NPPs needs in the nuclear fuel. It is demonstrated that only the restoration of production at temporary closed down mining enterprises, the growth of output at existing mines, and using secondary sources of uranium guarantee a sufficient amount of the raw materials to meet the demand for uranium in the next decade. Moreover, the shortage of raw materials for nuclear fuel in the near future may again be replaced by its excess. However, by the end of the current or early next decade, due to the depletion of the resource base of some operating mines, including Four Mile and Cigar Lake in Canada, the capacities of mining enterprises will be insufficient to meet the fuel needs of NPPs. A shortage of uranium may appear again, that will grow rapidly in the future. This will mean a new round of growth in prices for natural uranium, which, in turn, will stimulate an increase in uranium production throughout the world and will expand the prospects for the implementation of projects for the development of new uranium deposits in Russia, primarily Argunskoe and Zherlovoe in the Streltsovskoe uranium ore region
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.039 | 0.004 |
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".