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Record W1850629448 · doi:10.1002/ejic.201402317

Alternative Synthetic Methods for PEPPSI‐Type Palladium Complexes

2014· article· en· W1850629448 on OpenAlexaff
Kerry‐Ann Green, Paul T. Maragh, Kamaluddin Abdur‐Rashid, Alan J. Lough, Tara P. Dasgupta

Bibliographic record

VenueEuropean Journal of Inorganic Chemistry · 2014
Typearticle
Languageen
FieldChemistry
TopicN-Heterocyclic Carbenes in Organic and Inorganic Chemistry
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChemistryPalladiumPyridineCarbeneSalt (chemistry)Nuclear magnetic resonance spectroscopyMedicinal chemistryPolymer chemistryOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

Abstract Alternative procedures are reported for the preparation of PEPPSI‐type palladium complexes (PEPPSI = pyridine‐enhanced precatalyst preparation stabilization and initiation) in good to excellent yields. One method involves the reaction of [(NHC)Pd(acac)Cl] complexes (NHC = N‐heterocyclic carbene, acac = acetylacetonate) with hydrohalides (HX; X = Cl, Br, I) of pyridine or 2,6‐lutidine. Two other one‐pot syntheses involve Pd(acac)2, the azolium salt and pyridine hydrohalide (or 2,6‐lutidine hydrohalide). The complexes were obtained as moisture‐ and air‐stable solids and were characterized by 1H and 13C NMR spectroscopy, CHN analysis, and IR spectroscopy. The various synthetic procedures and the yields of the desired products are discussed. The X‐ray structure of [1‐(2,6‐diisopropylphenyl)‐3‐(2,4,6‐trimethylphenyl)imidazolin‐2‐ylidene]Pd(acac)Cl (4c) is also reported.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.018
GPT teacher head0.286
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

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

Citations10
Published2014
Admission routes1
Has abstractyes

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