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Dual Nickel-Photoredox Catalyzed Amidine-Arylation Method Mediated By In Situ Generated Triazine Cocatalyst

2025· preprint· en· W4409173052 on OpenAlexaff
Matteo Gasparetto, Attila Sveiczer, Andrea Fermi, Mounir Raji, Richard J. Fair, Paola Ceroni, Gellért Sipos

Bibliographic record

VenueChemRxiv · 2025
Typepreprint
Languageen
FieldChemistry
TopicRadical Photochemical Reactions
Canadian institutionsNeurAxon (Canada)
FundersH2020 Marie Skłodowska-Curie ActionsHorizon 2020 Framework ProgrammeUniversità di BolognaEuropean Commission
KeywordsAmidineNickelDual (grammatical number)CatalysisIn situTriazineChemistryCombinatorial chemistryPolymer chemistryOrganic chemistryArt

Abstract

fetched live from OpenAlex

Herein, we report a high-yielding nickel/photoredox-catalyzed amidine arylation method that accommodates a wide range of aryl halides and amidines. The method exhibits good functional group tolerance enabling its successful application to both simple substrates and late-stage functionalization experiments. Mechanistic studies revealed the pivotal role of an in situ generated triazine co-catalyst. This information allowed us to further optimize the protocol, achieving faster reaction rates, milder conditions, and most importantly the substrate scope was expanded to sulfonamides and primary amines as well.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
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 score0.054
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.002
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 head0.020
GPT teacher head0.298
Teacher spread0.278 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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