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PHENOL

2025· other· en· W7116780748 on OpenAlexaff
Jim Wallace, Updated by Staff

Bibliographic record

VenueKirk‐Othmer Encyclopedia of Chemical Technology · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsPhenolEpoxyRaw materialBisphenol APolyetherimideCumene hydroperoxideCatechol

Abstract

fetched live from OpenAlex

Abstract Phenol (hydroxybenzene) is a commercially important derivative of benzene. It is the primary feedstock for the production of epoxy resins and polycarbonates, phenolic resins and molding compounds, caprolactam, aniline, and other chemical derivatives. More than 95% of the phenol consumed is produced by the cumene peroxidation process. Phenol is a white, crystalline mass at room temperature. Its freezing point is 40.91°C. It is a protoplasmic poison that is corrosive to living tissue and is readily absorbed through the skin. Phenol's consumption growth rate is based primarily on its use in engineering plastics such as bisphenol A, polycarbonates, polyetherimide and poly(phenylene oxide), and epoxy resins for the electronics industry. Due to the nature of its end markets, phenol consumption is highly cyclic. Future production processes for phenol will be affected by the disparity in growth rate between phenol and its coproduct, acetone.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.022
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0030.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0040.001
Insufficient payload (model declined to judge)0.0060.005

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 head0.005
GPT teacher head0.244
Teacher spread0.239 · 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
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
Published2025
Admission routes1
Has abstractyes

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