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Record W4234085997 · doi:10.1002/div.1627

PPG Industries, Inc.

2004· article· en· W4234085997 on OpenAlexaboutno aff

Bibliographic record

VenueMergent s Dividend Achievers · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Governance and Law
Canadian institutionsnot available
Fundersnot available
KeywordsAutomotive industryAerospaceSpeciality chemicalsBusinessManufacturing engineeringEngineeringEnvironmental engineering

Abstract

fetched live from OpenAlex

Abstract Chemicals (MIC: 11.1 SIC: 2851 NAIC:325510) PPG Industries is a supplier of products for manufacturing, construction, automotive, chemical processing and numerous other world industries. Co. is comprised of three basic business segments: coatings, glass and chemicals. Co. is focused on industrial, aerospace, packaging, architectural, automotive original and refinish coatings, flat glass, automotive original and replacement glass, and continuous‐strand fiber glass, and chlor‐alkali and specialty chemicals. Co. operates manufacturing facilities in countries including Canada, China, England, France, Germany, Ireland, Italy, Mexico, the Netherlands, Portugal, Spain, Taiwan, Argentina, Australia, Malaysia, Thailand, Turkey and the U.S.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.633
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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.024
GPT teacher head0.206
Teacher spread0.182 · 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
Published2004
Admission routes1
Has abstractyes

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