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Record W2462994955 · doi:10.1002/slct.201600404

Design and Preparation of Polymer Resin‐Supported Proline Catalyst with Industrial Application Potential

2016· article· en· W2462994955 on OpenAlexaff
Mr. Lin Xu, Mr. Jiejun Huang, Ming Zhang, Lei Yu, Yining Fan

Bibliographic record

VenueChemistrySelect · 2016
Typearticle
Languageen
FieldChemistry
TopicChemical Synthesis and Reactions
Canadian institutionsMinistry of Education and Child Care
Fundersnot available
KeywordsIsophoroneCatalysisAcetoneMesityl oxideChemistryCondensationProlinePolymerOrganic chemistryAlcoholChemical engineeringAmino acid

Abstract

fetched live from OpenAlex

Abstract A polymer resin‐supported proline catalyst was developed. The material might serve as an eco‐friendly recoverable organocatalyst with industrial application potential. Its catalytic activity in acetone condensation was tested. Catalyst prepared under optimized conditions showed good performances, giving mesityl oxide (MO), diacetone alcohol (DAA) and isophorone (IP) in up to 87.7 % total selectivity, while the catalyst could be recovered with less than 5 % mass lost and could be reused for at least seven times without deactivation. Being able to convert market‐excess acetone into useful bulk fine chemicals, the catalyst is of significant industrial value.

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 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: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.232
Teacher spread0.219 · 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 teacher head, 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

Citations7
Published2016
Admission routes1
Has abstractyes

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