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Record W4367361896 · doi:10.1021/cen-09940-buscon1

BASF, Dow feel supply chain impact

2021· article· en· W4367361896 on OpenAlexaboutno aff
Alex Tullo

Bibliographic record

VenueC&EN Global Enterprise · 2021
Typearticle
Languageen
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsnot available
Fundersnot available
KeywordsEarningsQuarter (Canadian coin)BusinessCoronavirus disease 2019 (COVID-19)Supply chainChemical industryInflation (cosmology)CommerceAgricultural economicsFinanceEconomicsEngineeringMarketing

Abstract

fetched live from OpenAlex

Two of the world’s biggest chemical companies, BASF and Dow, posted strong results for the third quarter as the world’s economy continues to recover from the effects of the COVID-19 pandemic. But both firms, among the first chemical makers to report earnings for the period, say inflation and supply chain disruptions are starting to weigh on the industry. BASF reported a 42% increase in sales and a massive 160% earnings rise in the third quarter from the same period a year earlier, when governments worldwide were imposing lockdowns to stem the spread of COVID-19. Higher volumes were responsible for 6% of the sales rise and increased prices another 36%. But earnings at BASF, the world’s largest chemical company, declined 23% from the second quarter. “Our downstream businesses are still confronted with further rising raw material, energy, and freight costs,” BASF chairman Martin Brudermüller told analysts in a presentation Oct. 27.

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 categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.271
Teacher spread0.267 · 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.

Study designObservational
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
Published2021
Admission routes1
Has abstractyes

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