MétaCan
Menu
Back to cohort
Record W2762010928

TiO2 feedstocks: : mind the gap

2014· article· eo· W2762010928 on OpenAlexaboutno aff
Kasia Patel

Bibliographic record

VenueIndustrial Minerals · 2014
Typearticle
Languageeo
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsnot available
Fundersnot available
KeywordsRaw materialQuarter (Canadian coin)RutileBusinessProduction (economics)Agricultural economicsNatural resource economicsCommerceEconomicsEngineeringChemistryArchaeologyGeographyChemical engineeringMicroeconomics
DOInot available

Abstract

fetched live from OpenAlex

DuPont, another major player in the pigment industry, noted that though sales of TiO[subscript]2 had increased slightly in the second quarter of 2014, TiO[subscript]2 prices remained about 3% lower y-o-y. It added that, currently, industry demand is staying relatively stable but that it expects moderately lower ore costs for TiO[subscript]2. While new TiO[subscript]2 feedstock projects are in development, existing feedstock producers have slowed down capacity expansions and even taken existing capacity offline while lacklustre demand for TiO[subscript]2 continues. In 2013, Rio Tinto Minerals announced that it would cancel its feedstock expansion plans while deciding to put its South zircon and rutile processing operations on care and maintenance. The company's Quebec chloride slag production facility was taken offline and the pre-feasibility study was also cancelled in response to weak demand and to reduce operating costs. An uptick in TiO[subscript]2 demand in 2014, owing particularly to a revival in paint demand in the Northern Hemisphere, has led to increases in production by leading pigment producers, Tronox, Huntsman and Kronos, with slight increases in DuPont's TiO[subscript]2 volumes. Some producers have also noted signs of demand recovery in minor markets.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.517
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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.

Opus teacher head0.087
GPT teacher head0.282
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueIndustrial MineralsSame topicExtraction and Separation ProcessesFrench-language works237,207