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Record W2035778539 · doi:10.1021/om701160b

A Measure for σ-Donor and π-Acceptor Properties of Diiminepyridine-Type Ligands

2008· article· en· W2035778539 on OpenAlexaff
Di Zhu, Peter H. M. Budzelaar

Bibliographic record

VenueOrganometallics · 2008
Typearticle
Languageen
FieldChemistry
TopicOrganometallic Complex Synthesis and Catalysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsChemistryPyridineLigand (biochemistry)AcceptorCarbeneArylMetalStereochemistryCrystallographyMedicinal chemistryCatalysisOrganic chemistry

Abstract

fetched live from OpenAlex

Relative metal−ligand binding strengths for the ZnCl 2 and low-spin Co I Me fragments and a variety of diiminepyridine (DIP)-like ligands have been calculated at the DFT level. The assumption of a linear energy relation Δ E stab (F,L) = α F σ L + β F π L for the relative binding energy of fragment F to ligand L was used to derive scales for ligand parameters σ L and π L representing the σ-donor and π-acceptor qualities of these ligands. The results show that DIP ligands in general are only fair σ-donors but exceptionally good π-acceptors, being eclipsed only by their bis(diazo)pyridine analogues and bis(carbene)pyridine variations. Bis(phosphinimine)pyridines are much poorer π-acceptors than DIP, but are comparable in σ-donor capacity. Introduction of substituents at the pyridine or N-aryl rings of DIP results in changes that are much smaller than the above-mentioned replacement of the ligand side arms. The analysis method also puts metal fragments on a scale for Lewis acidity (α F ) and π-basicity (β F ). For the series of fragments ScCl 2 −CuCl 2 (all high-spin), results indicate that Lewis acidity increases almost monotonously; π-basicity decreases from ScCl 2 to MnCl 2 (where it vanishes), is significant again for FeCl 2, but negligible for CoCl 2 −CuCl 2 .

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 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 score0.040
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.047
GPT teacher head0.213
Teacher spread0.166 · 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

Citations41
Published2008
Admission routes1
Has abstractyes

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