MétaCan
Menu
Back to cohort
Record W2766321472 · doi:10.1021/acs.organomet.7b00614

Activation of Dioxygen by Dimethylplatinum(II) Complexes

2017· article· en· W2766321472 on OpenAlexafffund
Mahmood Azizpoor Fard, Ava Behnia, Richard J. Puddephatt

Bibliographic record

VenueOrganometallics · 2017
Typearticle
Languageen
FieldChemistry
TopicMetal-Catalyzed Oxygenation Mechanisms
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryReactivity (psychology)Medicinal chemistrySolventOxygenStereochemistryOxygen atomMoleculeOrganic chemistry

Abstract

fetched live from OpenAlex

The ligands RN(CH 2 -2-C 5 H 4 N) 2 ( L1, R = CH 2 CH 2 OH; L2, R = CH 2 CH 2 CH 2 OH; L3, R = 2-C 6 H 4 OH) have been designed to give dimethylplatinum(II) complexes that can activate dioxygen in the absence of a protic solvent. The ligands react with [Pt 2 Me 4 (SMe 2 ) 2 ] to give an equilibrium mixture, with the major constituent being [PtMe 2 (κ 2 -N,N′- L )] ( 1a, L = L1; 1b, L = L2; 1c, L = L3 ). In the absence of air, 1a reacts with solvent CH 2 Cl 2 to give [PtMe 2 (CH 2 Cl)(κ 3 - N, N ′, N ″- L1 ]Cl, while 1c decomposes with loss of methane to give [PtMe(κ 3 - N, N ′, N ″- L3 -H)] and then, by reaction with solvent, the binuclear complex [{PtMe(κ 3 - N, N ′, N ″- L3 -H)} 2 (μ-H)]Cl. In the presence of oxygen the complexes 1 in CH 2 Cl 2 solution react to give [Pt(OH)Me 2 (κ 3 - N, N ′, N ″- L )]Cl, when L = L1 or L2, or [Pt(OH)Me 2 (κ 3 - N, N ′, O - L -H)], when L = L3 . The complex [Pt(OH)Me 2 (κ 3 - N, N ′, N ″- L2 )]Cl decomposed in the presence of air to give the binuclear complex [{PtMe 2 (2-C 5 H 4 NCO 2 )(μ-OH)} 2 ]. The factors influencing reactivity and mechanism in these reactions are elucidated, and the presence of both a free pyridyl donor (push group) and a free hydroxyl (pull group) is suggested to give a synergy for dioxygen activation by dimethylplatinum(II) complexes.

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)0.001
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 score0.017
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.023
GPT teacher head0.261
Teacher spread0.238 · 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

Citations23
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueOrganometallicsSame topicMetal-Catalyzed Oxygenation MechanismsFrench-language works237,207