Bibliographic record
Abstract
Improved results; TiO2 prices up 17%; Demand on the rise Kronos Worldwide reported rising profits on May 8, citing average TiO2 selling prices and higher sales volumes. Profit at the US-based company's TiO2 segment surged to $56.5m over the first quarter of 2017, compared to just $3.8m a year earlier. The increase was driven by rising prices, which were up 17% over the period, supporting segment sales. Sales volumes of TiO2 were reported at 143,000 tonnes over the quarter, compared to 138,000 tonnes a year ago. Kronos' production was also up, rising by some 14,000 tonnes to 145,000 tonnes. We operated our production facilities at an overall average capacity utilisation rate of 100% in the first quarter of 2017 compared to approximately 97% in the first quarter of 2016, Kronos said. Profits were also boosted by lower raw materials costs, but currency fluctuations trimmed gains. Across the whole company, Kronos reported net-sales of $369.8m in the first quarter of 2017, up 16% year on year. Profits surged to $36.8m, compared to a loss of $3.8m a year ago. Kronos is the latest titanium dioxide seller to report improving financials. Tronox last week reported that its titanium segment swing from loss to profit in the first quarter, thanks to rising sales. Titanium dioxide prices
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.086 | 0.045 |
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".