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Record W4401328727 · doi:10.1021/cen-10224-buscon6

Umicore pulls back on battery materials

2024· article· en· W4401328727 on OpenAlexaboutno aff
Matt Blois

Bibliographic record

VenueC&EN Global Enterprise · 2024
Typearticle
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsnot available
Fundersnot available
KeywordsBattery (electricity)Investment (military)ChinaBusinessRefineryNatural resource economicsEngineeringFinanceOperations managementWaste managementEconomicsGeographyPolitical science

Abstract

fetched live from OpenAlex

Adjusting to slower growth in the battery industry, Umicore is delaying investment into new battery materials plants. The firm will also record a $1.7 billion write-off of the value of its existing battery plants, which the company expects to be underutilized over the next few years. Umicore has stopped its spending on a cathode materials plant that it started building in Ontario last year, and says it will also delay construction of a European battery recycling plant. The loss on existing plants is mostly due to lower demand from customers in China. Umicore overestimated the near-term growth of the battery industry, but the company says it still expects more significant demand for batteries toward the end of the decade. Several other firms are also slowing new investments in battery materials. BASF recently backed away from plans to build a nickel refinery in Indonesia and a battery recycling plant in Spain.

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 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score0.999

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)0.0020.007

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 head0.008
GPT teacher head0.255
Teacher spread0.248 · 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
Published2024
Admission routes1
Has abstractyes

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