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Record W4385429414 · doi:10.1021/cen-10125-buscon6

Cefic, VCI share pessimism

2023· article· en· W4385429414 on OpenAlexaboutno aff
Alex Scott

Bibliographic record

VenueC&EN Global Enterprise · 2023
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsChemical industryPessimismEuropean unionGermanEconomicsQuarter (Canadian coin)Inflation (cosmology)BusinessEconomic policyEngineeringGeography

Abstract

fetched live from OpenAlex

The European Chemical Industry Council (Cefic) and German Chemical Industry Association (VCI), Europe and Germany’s leading chemical industry associations, have downgraded their commercial outlooks for 2023. Cefic forecasts that full-year chemical production in the European Union will decline by 8% from 2022. “The EU chemical industry is facing a perfect storm,” Marco Mensink, Cefic’s director general, says in a press release. “The combination of high energy prices, lack of global demand and the US IRA [Inflation Reduction Act] means there is simply no business case for investing in Europe now.” Plant capacity use levels for the first quarter of this year were similar to those seen during the first COVID-19 lockdown in 2020, the organization says. Indicators for the European chemical industry point to a further decline in incoming orders. VCI has a similar outlook. “The demand for chemicals is decreasing,” VCI president Markus Steilemann says in a press release.

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 categoriesMeta-epidemiology (narrow), Insufficient 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.795
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.009

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 head0.012
GPT teacher head0.275
Teacher spread0.263 · 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
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
Published2023
Admission routes1
Has abstractyes

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