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Record W2908906574 · doi:10.1080/10610278.2018.1564829

Chiral phosphine ligand libraries based on the Bull–James three-component supramolecular assembly

2019· article· en· W2908906574 on OpenAlexafffund
Hsin Y. Su, Daniel J. Gorelik, Mark S. Taylor

Bibliographic record

VenueSupramolecular chemistry · 2019
Typearticle
Languageen
FieldChemistry
TopicAsymmetric Hydrogenation and Catalysis
Canadian institutionsUniversity of Toronto
FundersAmerican Chemical Society Petroleum Research FundNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsCanada Foundation for Innovation
KeywordsChemistryAllylic rearrangementPhosphineLigand (biochemistry)TrimethylsilylTetrahydrofuranStereocenterStereochemistryDenticityNuclear magnetic resonance spectroscopyMedicinal chemistryOrganic chemistryEnantioselective synthesisCatalysisCrystal structure

Abstract

fetched live from OpenAlex

An approach to the synthesis of libraries of chiral phosphine ligands is described, using condensations of 2-formylarylboronic acids, diols or related compounds, and aminophosphines. The three-component nature of this condensation, along with the ready availability of the building blocks, enables the rapid generation of diverse structures. From a library of iminoboronate-derived phosphines, three ligands that gave 90% ee or greater in a benchmark palladium-catalyzed allylic substitution reaction were identified. Significant variation of selectivity as a function of the structure of each component was observed. 11B NMR spectroscopy was used to evaluate the existence of B–N interactions in the free ligands as well as their Pd-derived complexes. A bidentate P,N-coordination mode was inferred for ligands that gave high enantioselectivity in the allylic substitution reaction.Abbreviation: BINOL: 1,1'-bi-2-naphthol; BSA: N,O-bis(trimethylsilyl)acetamide; DIOP: (2,3-O-isopropylidene-2,3-dihydroxy-1,4-bis(diphenylphosphino)butane; HPLC: high-performance liquid chromatography; NMR: nuclear magnetic resonance; THF: tetrahydrofuran

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), Insufficient 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 score0.085
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.005
GPT teacher head0.188
Teacher spread0.183 · 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

Citations7
Published2019
Admission routes2
Has abstractyes

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