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 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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.065 | 0.041 |
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".