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Record W4405295473 · doi:10.1002/cssc.202482302

Cover Feature: Decarboxylation of Hydroxybenzoic Acids to Phenol Via Deep Eutectic Solvents (ChemSusChem 23/2024)

2024· article· en· W4405295473 on OpenAlexaff
Da Hae Oh, A. Rashid, Chun‐Jae Yoo, Jeong‐Myeong Ha, Bonwook Koo, Jungkyu Choi, Keunhong Jeong, Kwang Ho Kim

Bibliographic record

VenueChemSusChem · 2024
Typearticle
Languageen
FieldChemical Engineering
TopicCarbon dioxide utilization in catalysis
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDeep eutectic solventCholine chloridePhenolDecarboxylationEutectic systemChemistrySolventGreen chemistryPhenolsHydroxybenzoic acidCatalysisOrganic chemistryIonic liquid

Abstract

fetched live from OpenAlex

The Cover Feature shows a sustainable method for producing phenol through the deep eutectic solvent (DES)-mediated decarboxylation of hydroxybenzoic acids. Choline chloride–urea DES acts as both solvent and catalyst, achieving a high phenol conversion. The process enhances environmental sustainability by avoiding harsh conditions, thus demonstrating the potential of DESs in green chemical manufacturing. More information can be found in the Research Article by J. Choi, K. Jeong, K. H. Kim and co-workers.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.250
Threshold uncertainty score0.837

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2500.073

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 head0.009
GPT teacher head0.243
Teacher spread0.234 · 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 designBench or experimental
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
Published2024
Admission routes1
Has abstractyes

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