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Record W2902772201

Imerys revenues rise as refractories, metallurgy businesses improve

2018· article· en· W2902772201 on OpenAlexaboutno aff
William Clarke

Bibliographic record

VenueIndustrial Minerals · 2018
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)RevenueBusinessAgricultural economicsTonneCommerceFinanceEngineeringEconomicsWaste managementGeographyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

First-quarter sales and revenues are up in several areas, but demand for ceramic proppants remains poor. Industrial minerals giant Imerys has reported first-quarter sales supported by rising demand in the refractories, metallurgy and filtration sectors, although the ceramic proppant and roofing businesses remain subdued. In a financial statement published on Friday April 27, Imerys reported revenues up by 8.5% year-on-year to €1.2 billion ($1.43 billion) in the first quarter of 2018, taking account of negative currency effects and gains from the acquisitions of a number of businesses. Like-for-like sales in the quarter were up by 4.2%. Like-for-like revenues in the high resistance minerals division, which includes refractories, rose by 10% year-on-year in the first quarter, to €305.2 million. Imerys also reported growth in its monolithic refractories business, with demand “in most of the European and Asian industrial markets.” Prices for most refractory minerals have increased over the past year. Industrial Minerals on May 3 reported the price for alumina, fused brown, min 95% Al2O3, refractory sized (0-6mm), fob China, at $800-820 per tonne. This compared with $550-600 per tonne a year earlier.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.032
GPT teacher head0.245
Teacher spread0.213 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2018
Admission routes1
Has abstractyes

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