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Record W4413861035 · doi:10.1002/advs.202511395

Direct Carboboration of Aryl Alkenes with Stable Organoborons Through Ziegler‐Type Addition

2025· article· en· W4413861035 on OpenAlexaff
Mo Yang, Shengda Chen, Daojing Li, Liuzhou Gao, Guoqiang Wang, Shuhua Li

Bibliographic record

VenueAdvanced Science · 2025
Typearticle
Languageen
FieldChemistry
TopicOrganoboron and organosilicon chemistry
Canadian institutionsMinistry of Education and Child Care
FundersNanjing UniversityChinese Academy of SciencesNational Natural Science Foundation of China
KeywordsArylChemistryCombinatorial chemistryOrganic chemistryAlkyl

Abstract

fetched live from OpenAlex

Carbometallation reaction represents a classic strategy for the bifunctionalization of unsaturated hydrocarbons, yet conventional implementations predominantly rely on either highly reactive organometallic reagents or transition metal catalysts. Notably, the direct employment of metalloid organoboron reagents for such addition processes remains elusive except when specific substrate combinations are employed. Herein, a base-catalyzed carboboration reaction of aryl alkenes with bench-stable benzylic boronates is reported. This anionic-based strategy is not only applicable to the carboboration of substituted styrenes but also to vinyl cyclopropanes and vinyl cyclobutane, affording the corresponding 1,5- and 1,6-carboboration-related products. Combined experimental and computational investigations reveal a mechanism that involves the Ziegler-type carbometallation process. The synthetic utility is further highlighted by the facile one-pot derivatization of the resulting benzylic boronates. Furthermore, a modified catalytic system offers an alternative to the anionic polymerization of styrene.

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 score0.049
Threshold uncertainty score0.945

Codex and Gemma teacher scores by category

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

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 head0.007
GPT teacher head0.252
Teacher spread0.245 · 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

Citations4
Published2025
Admission routes1
Has abstractyes

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