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Record W1490555602 · doi:10.17628/ecb.2013.2.76-77

AN OVERVIEW ON SYNTHETIC METHODS OF ALKYL CINNAMATES

2012· article· en· W1490555602 on OpenAlexaff
Shu Liu, You Hongjun

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemistry
TopicChemical Synthesis and Reactions
Canadian institutionsSAIT Polytechnic
Fundersnot available
KeywordsCinnamatesCatalysisCinnamic acidAlkylChemistryMolar ratioAlcoholMicrowaveOrganic chemistryMicrowave powerMicrowave heatingReaction conditionsNuclear chemistryMaterials scienceComputer science

Abstract

fetched live from OpenAlex

Nowadays three synthetic methods of cinnamate using different catalysts such as heteropolyacid (H8SiW12O42∙XH2O) and solid super acid (SO42-/La2O3-ZrO2-HZSM-5 and SO42-/TiO2) have been reviewed in the present paper. Effects of the reaction conditions such as the microwave heating power, the microwave heating times, the amount of the catalyst, the molar ratio of cinnamic acid to alcohol and the reaction time on the yields of cinnamate have been discussed also. The yields of cinnamate are improved by the addition of above catalysts. These methods are having the advantages of simple process and low investment costs.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.004

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 head0.072
GPT teacher head0.394
Teacher spread0.323 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations5
Published2012
Admission routes1
Has abstractyes

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