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Record W4247216446 · doi:10.1021/cen-09422-buscon013

Business Roundup

2016· article· en· W4247216446 on OpenAlexaboutno aff

Bibliographic record

VenueC&EN Global Enterprise · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicChemistry and Chemical Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Kuraray will expand its ethylene vinyl alcohol copolymer plant in Pasadena, Texas, by 11,000 metric tons per year. The Japanese firm says the project will cost $75 million and be completed by the summer of 2018. It recently opened a polyvinyl alcohol plant at the site and is considering adding a vinyl acetate facility. Chemours, the former performance chemicals business of DuPont, is asking the state of Delaware for a grant of $9 million. The money will be used for a headquarters project in Wilmington, Del., and to retain jobs. Clariant will develop catalysts that work with ethanol-to-olefins technology developed by Gevo, a biobased chemicals firm. Clariant will build upon Gevo-discovered mixed metal oxide catalysts that convert ethanol to propylene and isobutylene. Stepan will cease all production at its detergents facility in Longford Mills, Ontario, by the end of this year. The company discontinued ethoxylation production at the plant

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.789
Threshold uncertainty score0.301

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0090.003
Open science0.0020.004
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.7890.792

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 head0.002
GPT teacher head0.183
Teacher spread0.181 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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