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Record W4416982051 · doi:10.5267/j.ccl.2025.11.001

Recent advances in the photocatalytic Giese reaction

2025· article· W4416982051 on OpenAlexvenueno aff
Oleh Lukianov, V. P. Tkachuk, Kseniia Yutilova, M. V. Vovk, V. A. Sukach

Bibliographic record

VenueCurrent Chemistry Letters · 2025
Typearticle
Language
FieldChemistry
TopicRadical Photochemical Reactions
Canadian institutionsnot available
Fundersnot available
KeywordsPhotocatalysisRadicalEnvironmentally friendlyPhotoredox catalysisRutheniumCatalysis

Abstract

fetched live from OpenAlex

The Giese reaction is a key method for forming C–C bonds via the radical addition to electron-deficient alkenes. Recent advances have shifted this transformation towards photocatalytic approaches that use visible light to generate carbon-centered radicals under mild and sustainable conditions. This review highlights developments from 2020 to 2025 in photocatalytic radical generation using metal-based complexes (especially ruthenium and iridium) and organic photocatalysts. Emphasis is placed on how light-driven processes enable efficient, selective, and environmentally friendly Giese-type reactions with diverse substrates. These innovations demonstrate the growing importance of photochemistry in modern radical synthesis.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.015
GPT teacher head0.302
Teacher spread0.287 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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