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Record W4234189239 · doi:10.1016/s0306-3747(20)30044-0

Eastman sees sales and earnings fall in fourth quarter and full-year 2019

2020· article· en· W4234189239 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAdditives for Polymers · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSustainability and Innovation in Business
Canadian institutionsnot available
Fundersnot available
KeywordsEarningsQuarter (Canadian coin)Net incomeAgricultural economicsDemographic economicsBusinessEconomicsFinanceGeography

Abstract

fetched live from OpenAlex

For the year to 31 December 2019, Eastman Chemical Co reported net earnings attributable to the company of US$759 million on net sales of $9.27 billion, while EBIT reached $1.12 billion. Compared to the corresponding figures for the previous 12 months, net sales in 2019 declined by a moderate 8.6% year on year, from $10.15 billion in 2018, but EBIT and net earnings fell more sharply, by 27.8% and 29.7%, respectively. Adjusted EBIT, which excludes non-core and unusual items, was $1.39 billion in 2019, down 15% from $1.63 billion 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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.539

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 communication0.0000.001
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 head0.011
GPT teacher head0.213
Teacher spread0.202 · 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