MétaCan
Menu
Back to cohort
Record W4386364171 · doi:10.1021/cen-10129-buscon7

Bakelite to acquire LRBG Chemicals

2023· article· en· W4386364171 on OpenAlexaboutno aff
Alex Tullo

Bibliographic record

VenueC&EN Global Enterprise · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsCommercializationPrivate equity firmPrivate equityBusinessSpeciality chemicalsCommercePulp and paper industryDiamondProduct (mathematics)Product lineAgricultural economicsMaterials scienceEngineeringManufacturing engineeringComposite materialFinanceMarketingMathematicsEnvironmental engineeringEconomics

Abstract

fetched live from OpenAlex

Bakelite Synthetics has agreed to purchase LRBG Chemicals, in Longueuil, Quebec, for an undisclosed sum. Both companies have similar product lines. Founded in 1937, LRBG makes powdered resins such as melamines , used in school furniture and dishware, and liquid resins such as phenolics, found in plywood and oriented strand board. Bakelite traces its roots to Leo Baekeland’s commercialization of phenolic resins in 1907. It operated as part of Hexion until it was acquired by the private equity firms Black Diamond and Investindustrial in 2021. Bakelite bought Georgia Pacific’s resins business last year.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.555
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.037

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 head0.019
GPT teacher head0.262
Teacher spread0.243 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueC&EN Global EnterpriseSame topicEconomic Issues in UkraineFrench-language works237,207