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Record W2047812593 · doi:10.1039/c3ra41370e

A recyclable CuO-catalyzed synthesis of 4(3H)-quinazolinones

2013· article· en· W2047812593 on OpenAlexaff
Dan Zhan, Tianbin Li, Haidong Wei, Wen Weng, Khashayar Ghandi, Qingle Zeng

Bibliographic record

VenueRSC Advances · 2013
Typearticle
Languageen
FieldChemistry
TopicQuinazolinone synthesis and applications
Canadian institutionsMount Allison University
Fundersnot available
KeywordsCatalysisSolventTandemChemistryAtmosphere (unit)Atom economyCombinatorial chemistryReaction conditionsChemical engineeringOrganic chemistryMaterials sciencePhysicsComposite material

Abstract

fetched live from OpenAlex

This paper describes the synthesis of 2-substituted and 2,3-disubstituted 4(3H)-quinazolinones via a tandem reaction involving anthranilamides and aromatic aldehydes catalyzed by 3 mol% CuO powder under air atmosphere. This new method has several advantages: it uses recyclable and cheap CuO powder as the catalyst and air as the green oxidant, water is the only byproduct, and the solvent is recycled. It is easy to run, has a high atom economy and good to excellent yields. A mechanism for the CuO-catalyzed synthesis of the 4(3H)-quinazolinones is proposed.

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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.010
GPT teacher head0.246
Teacher spread0.236 · 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

Citations60
Published2013
Admission routes1
Has abstractyes

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