Bibliographic record
Abstract
Canada has been the world leader in uranium production since the early 1990s. In 2005, production amounted to 11 629 tU (tonnes of uranium metal). The Elliot Lake region of Ontario was once the center of production, but after the last of these facilities closed in 1996 all production now originates from the Athabasca Basin of northern Saskatchewan (Figure 1). The Athabasca Basin hosts the world's premier, low-cost uranium deposits. Average grades of the world's two largest high-grade deposits, McArthur River and Cigar Lake, are 10 to 100 times the grade of deposits mined elsewhere. McArthur River has been in production since late 1999 and Cigar Lake is in final stages of construction with first production expected late in 2007. Remote, hightech mining and processing methods are used to extract uranium from these deposits. Canadian uranium producers are not only world leaders in production, but are also leaders in the development of environmentally responsible mining practices. All production facilities are strictly regulated by federal and provincial agencies. All effluents are treated prior to off-site release, and all tailings are managed and disposed of in mined-out open pits that have been engineered to serve as tailings management facilities.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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; 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".