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Record W4409552433 · doi:10.1002/cctc.202500376

Phosphino(silyl) Nickel Complexes for Alkene Hydroboration Catalysis: Steric Tuning of Pre‐Catalyst Provides High Regioselectivity

2025· article· en· W4409552433 on OpenAlexafffund
Xue Tang, Yiwen Feng, Deidre Tremblay, Katherine N. Robertson, Laura Turculet

Bibliographic record

VenueChemCatChem · 2025
Typearticle
Languageen
FieldChemistry
TopicAsymmetric Hydrogenation and Catalysis
Canadian institutionsSaint Mary's UniversityDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaDalhousie University
KeywordsHydroborationRegioselectivityAlkeneCatalysisSteric effectsChemistryNickelSilylationOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Bis(phosphino)silyl nickel complexes featuring diethylphosphino donors on the tridentate PSiP ligand are effective pre‐catalysts for room temperature alkene hydroboration with HBPin. Terminal and geminal alkenes, including a wide scope of vinyl arenes, reacted to afford exclusively the linear, anti‐Markovnikov boronate ester product in all cases. Internal alkene substrates undergo Ni‐mediated tandem alkene isomerization‐hydroboration to afford the terminal borylation products with high selectivity. Deuterium labeling studies employing DBPin support a Ni‐H‐based mechanism for this reactivity, whereby alkene isomerization occurs via reversible alkene insertion/β‐hydride elimination steps. We propose that steric tuning of the PSiP ligand influences the observed regioselectivity.

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 categoriesMeta-epidemiology (narrow)
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 score0.027
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.254
Teacher spread0.242 · 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.

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 routes2
Has abstractyes

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