Bibliographic record
Abstract
Neither company will reveal how much it produces, but Rio Tinto said in its Q3 2012 results that Borates production was 12% lower than the third quarter of 2011, in response to current market conditions. However, this also included the companys' Argentinian assets, the sale of which was completed in August this year. Argentina has historically contributed around 4% of Rio Tinto borate production, the company said. In 2011 Rio Tinto produced 504,000 tonnes borates. 4% of this figure leaves roughly 483,840 tonnes of borates out of the US. Of the 2011 figure, 630,000 tonnes were mined in Argentina (up 30,000 tonnes from 2010); 120,000 tonnes in Bolivia (up 23,000 tonnes); 480,000 tonnes in Chile (down 24,000 tonnes) and 370,000 tonnes in Peru (up 77,000 tonnes) (see pie chart). Rio Tinto Minerals reviews each of its operations regularly to ensure a good fit with business strategy, Le Page explained. A decision was made to divest Borax Argentina because RTM focuses on large-scale, long-life mines with expandable operations like our Boron operation, he added.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.076 | 0.022 |
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".