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Record W2284776147 · doi:10.1002/ejoc.201501231

Desulfination as an Emerging Strategy in Palladium‐Catalyzed C–C Coupling Reactions

2015· article· en· W2284776147 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

VenueEuropean Journal of Organic Chemistry · 2015
Typearticle
Languageen
FieldChemistry
TopicSulfur-Based Synthesis Techniques
Canadian institutionsCentre in Green Chemistry and CatalysisConcordia University
Fundersnot available
KeywordsChemistryNegishi couplingNucleophilePalladiumCoupling reactionStille reactionOrganic chemistryCatalysisElectrophileSulfonylAlkyl

Abstract

fetched live from OpenAlex

Abstract As carbon–carbon bonds are an essential bond type in Nature, reactions that form C–C bonds are of great interest in organic chemistry. Among the most popular C–C bond formation methods with aromatic systems are palladium‐catalyzed coupling reactions, such as the Heck, Suzuki, Negishi and Stille reactions. Even though these methods are efficient, they produce stoichiometric amounts of high molecular weight byproducts, placing them in conflict with the increasingly important ideas of sustainable reactions and green chemistry. In contrast, palladium‐catalyzed desulfinative coupling reactions produce minimal waste; in general, only hydrogen halides or alkali halides are formed as byproducts in addition to SO 2 gas, which can potentially be recycled. This microreview provides a brief historic overview on palladium‐catalyzed coupling reactions with organosulfur compounds, with the main focus on the use of sulfinate salts as nucleophilic or electrophilic reaction partners. Various methods to access the sulfinate salts, and the coupling reactions of sulfonyl precursors that proceed through sulfinic acid/salt intermediates generated in situ are also discussed.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 science0.0010.000
Research integrity0.0000.001
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 head0.038
GPT teacher head0.282
Teacher spread0.244 · 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