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Record W2903961326 · doi:10.1002/ejoc.201801650

Metal‐Free Photoinduced Transformation of Aryl Halides and Diketones into Aryl Ketones

2018· article· en· W2903961326 on OpenAlexafffund
Qiuli Yao, Wenbo Liu, Peng Liu, Linjing Ren, Xuehong Fang, Chao‐Jun Li

Bibliographic record

VenueEuropean Journal of Organic Chemistry · 2018
Typearticle
Languageen
FieldChemistry
TopicRadical Photochemical Reactions
Canadian institutionsMcGill UniversityCentre in Green Chemistry and Catalysis
FundersNational Natural Science Foundation of ChinaCanada Research Chairs
KeywordsChemistryArylAcylationHalideKetoneMetal halidesCatalysisMetalCombinatorial chemistryOrganic chemistryPhotochemistry

Abstract

fetched live from OpenAlex

The acylation of aryl halides to prepare aryl ketones without metal catalyst represents an important yet challenging topic towards more sustainable ketone synthesis. Herein, we describe a simple and efficient metal‐free protocol for the acylation of aryl halides with diketone under the irradiation of light utilizing N ‐methylpiperidine as base under an air atmosphere. This reaction can tolerate a wide range of functional groups and the corresponding ketones can be obtained in modest to good yields.

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 score0.007

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
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 head0.011
GPT teacher head0.226
Teacher spread0.215 · 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

Citations16
Published2018
Admission routes2
Has abstractyes

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