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Record W3201441604 · doi:10.1002/tcr.202100210

Transition Metal‐Catalyzed Cross‐Couplings of Benzylic Sulfone Derivatives

2021· review· en· W3201441604 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Chemical Record · 2021
Typereview
Languageen
FieldChemistry
TopicSulfur-Based Synthesis Techniques
Canadian institutionsQueen's University
FundersJapan Society for the Promotion of ScienceSumitomo Foundation
KeywordsSulfoneCarbeneTrifluoromethylCatalysisReactivity (psychology)ChemistryTransition metalCombinatorial chemistryCoupling reactionPolymer chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract In recent years, the use of organosulfones as a new class of cross‐coupling partner in transition‐metal catalyzed reactions has undergone significant advancement. In this personal account, our recent investigations into desulfonylative cross‐coupling reactions of benzylic sulfone derivatives catalyzed by Pd, Ni, and Cu catalysis is described. Combined with the facile α‐functionalizations of sulfones, our methods can be used to form valuable multiply‐arylated structures such as di‐, tri‐, and, tetraarylmethanes from readily available substrates. The reactivity of sulfones can be increased by introducing electron‐withdrawing substituents such as 3,5‐bis(trifluoromethyl)phenyl and trifluoromethyl groups, which enable more challenging cross‐coupling reactions. Reactive intermediates including Cu‐carbene complexes were identified as key intermediates in sulfone activation, representing new types of C−SO 2 bond activation processes. These results indicate sulfones are powerful functional groups, enabling new catalytic desulfonylative transformations.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.654
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.054
GPT teacher head0.343
Teacher spread0.288 · 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