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Record W2012419872 · doi:10.1021/om060787n

Lewis-Acidity of Trimethylplatinum(IV) with Labile Oxygen-Donor Ligands

2007· article· en· W2012419872 on OpenAlexaff
Vicki Hsieh, Antonio G. De Crisci, Alan J. Lough, Ulrich Fekl

Bibliographic record

VenueOrganometallics · 2007
Typearticle
Languageen
FieldMedicine
TopicMetal complexes synthesis and properties
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChemistryLewis acids and basesOxygenMedicinal chemistryOxygen atomStereochemistryOrganic chemistryMoleculeCatalysis

Abstract

fetched live from OpenAlex

Trimethylplatinum(IV) systems with labile ligands and weakly coordinating anions were investigated with respect to their Lewis-acidity and their ability to act as Lewis-acidic catalysts. The Lewis-acidity of tetrameric trimethylplatinum(IV) triflate (triflate = trifluoromethanesulfonate, OTf), [{Me 3 PtOTf} 4 ], toward carbonyl compounds was quantified by NMR titration with crotonaldehyde (Childs' method) in CD 2 Cl 2 . The data show moderate but significant Lewis-acidity of the trimethyl platinum(IV) center (27% of the acidity of BBr 3 ) and commensurate (moderate) intrinsic catalytic activity of the trimethylplatinum(IV) unit. Crystals of an aldehyde adduct were obtained. X-ray crystallography shows a binuclear metal complex, [{Me 3 Pt(crotonaldehyde)(μ-OTf)} 2 ]. Despite the relatively low Lewis-acidity, in the absence of oxygen-donor ligands, the trimethylplatinum(IV) is capable of decomposing the [B(Ar F ) 4 ] - anion (Ar F = 3,5-(CF 3 ) 2 C 6 H 3 ) to yield B(Ar F ) 3, apparently via aryl abstraction. Salt metathesis reactions of [{Me 3 PtOTf} 4 ] with Na[B(Ar F ) 4 ] in the presence of oxygen-donor ligands lead to mixtures that are highly catalytically active in the diastereoselective Mukaiyama-aldol reaction, likely via generation of very electrophilic silicon species.

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)0.000
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 score0.060
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.261
Teacher spread0.228 · 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
Published2007
Admission routes1
Has abstractyes

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