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Record W2883709555

Bolt-ons deliver 11% revenue growth for Imerys

2015· article· en· W2883709555 on OpenAlexaboutno aff
Laura Syrett

Bibliographic record

VenueIndustrial Minerals · 2015
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsRevenueLiberian dollarEarningsQuarter (Canadian coin)BusinessMonetary economicsEconomyFinanceEconomicsGeographyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Imerys attributed the current, inclusive revenue increase partly to group structure effect, referring to the integration since 1 March 2015 of Greek miner S&B and bolt-on acquisitions in monolithic refractories and carbonates, which it said added around EUR 238.3m to its sales. A positive exchange rate effect of EUR 188.1m, related to the decline of the euro against the US dollar in particular, also boosted revenue. The performances achieved to the end of September show that external growth is earnings-enhancing and that S&B's integration has started to deliver the expected synergies, [Gilles Michel] said. Revenue for Imerys' energy solutions and specialities segment, which includes its proppants business, dropped by 6% on a like-for-like basis so far this year to EUR 950.2m, from EUR 963.1m last year. For Q3, the decline was even sharper, at 9.7%, to EUR 314.1m from EUR 338.9m a year ago. High resistance materials, which covers products Imerys sells mainly into steel, glass, foundry and aluminium markets, recorded a 7.2% drop in like-for-like revenue and a 0.6% rise in current revenue for the first three quarters of 2015 to EUR 486.2m, from EUR 483.1m last year. Third quarter revenue fell 3.4% like-for-like but increased 1.1% on a current basis to EUR 156m from EUR 154.2m a year ago.

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)0.001
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 score0.294
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.137
GPT teacher head0.302
Teacher spread0.166 · 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
Published2015
Admission routes1
Has abstractyes

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