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Record W4401073684 · doi:10.1021/cen-10223-buscon4

Dow’s second quarter is better than its first

2024· article· en· W4401073684 on OpenAlexaboutno aff
Alex Tullo

Bibliographic record

VenueC&EN Global Enterprise · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsFellQuarter (Canadian coin)PaceEarningsChinaOfficerChief executive officerEconomicsBusinessAgricultural economicsFinanceEconomic historyManagementHistoryGeography

Abstract

fetched live from OpenAlex

Blaming a stalling economy, Dow says earnings slipped in the second quarter from the same period a year ago. But the largest US chemical company says it made progress over the first quarter and notes signs that business conditions will improve. Dow’s sales declined 4.4% from the year-ago quarter to $10.9 billion. Volume increased by 1%, but prices fell 4%. Earnings, excluding extraordinary items, dropped 10.2% to $482 million. “The pace of the global economic recovery has decelerated slightly,” Dow’s chief financial officer, Jeffrey L. Tate, said in a July 25 conference call with analysts. “This was primarily led by China, where economic growth in the second quarter was lower than the market expected.” In Dow’s largest business, Packaging and Specialty Plastics, sales fell 7% from a year ago due to lower volumes and lower prices, particularly in Asia. Sales in its Industrial Intermediates and Infrastructure segment dropped 7% despite

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: Editorial · Consensus signal: none
Teacher disagreement score0.191
Threshold uncertainty score0.637

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0050.001
Scholarly communication0.0160.005
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.1910.085

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 head0.013
GPT teacher head0.303
Teacher spread0.290 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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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