Bibliographic record
Abstract
We don't think the TiO[subscript]2 cycle has hit bottom. Price declines in the first and second quarters, and trade publications reporting that third-quarter negotiations are likely to result in further declines, strongly suggest there is further to fall, Moody's said in a 26 August report, entitled Dioxide Cycle Yet to Hit Bottom, Recovery Possible by 2017. As this happened, according to Moody's, [TiO[subscript]2 ] customers found ways to reformulate, use less through substitution and move down the quality scale, for example, by substituting chloride TiO[subscript]2 for sulphide TiO[subscript]2. TZ Minerals International Pty Ltd (TZMI), a TiO[subscript]2 industry consultancy, gave a bleak assessment of pigment and feedstock markets in its August 2015 Mineral Sands Report. The industry is suffering from lower prices, weak demand, high inventory levels and a general oversupply of most products, the organisation said.Pricing is relatively volatile in this market, Philippe Guillemaille, head of sales and marketing at Argex Titanium Inc., a new-route
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 0.007 |
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".