Bibliographic record
Abstract
Recent comments regarding market demand for TiO 2 in the second half of 2012 are not consistent with DuPont's view and overstate the softness in the pigment industry, BC Chong, DuPont Titanium Technologies president, said. We think that pigment producers (...) are seeing somewhat lower demand, and may be switching more of their feedstock requirements from the higher-priced synthetic rutile to lower-priced slag because the input cost savings outweigh the reduced production efficiencies in a soft demand market, Tom Casey Tronox CEO, said at the time. Kronos Worldwide Inc. also reported weak third quarter results as higher average TiO 2 selling prices and lower sales and production volumes hampered profitability. The US company's net income totalled $35.2m in Q3 2012, compared with $85.9m for the third quarter of 2011, while net sales for the quarter fell 14% y-o-y to $75.1m
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.036 |
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; both teacher heads agree on what is shown here.
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".