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Record W1996142758 · doi:10.1021/ja002971k

Infrared Study of the Class II/Class III Boundary in Mixed-Valence Dinuclear Ruthenium Complexes

2001· article· en· W1996142758 on OpenAlexaff
Maria C. DeRosa, Christopher A. White, Christopher E. B. Evans, Robert J. Crutchley

Bibliographic record

VenueJournal of the American Chemical Society · 2001
Typearticle
Languageen
FieldMedicine
TopicMetal complexes synthesis and properties
Canadian institutionsCarleton University
Fundersnot available
KeywordsChemistryDelocalized electronAcetonitrileNitromethaneValence (chemistry)CrystallographyRutheniumInfrared spectroscopyElectron paramagnetic resonancePhotochemistryNuclear magnetic resonanceOrganic chemistry

Abstract

fetched live from OpenAlex

The cyanamide stretching frequencies of the mixed-valence complexes [{Ru(NH 3 ) 5 } 2 (μ-L)] 3+, trans, trans -[{Ru(NH 3 ) 4 (py)} 2 (μ-L)] 3+ (py = pyridine), and mer, mer -[{Ru(NH 3 ) 3 (bpy)} 2 (μ-L)] 3+ (bpy = 2,2‘-bipyridine), where L is the 1,4-dicyanamidobenzene dianion and its substituted derivatives in nitromethane, acetonitrile, and dimethyl sulfoxide, were examined to determine the effects of inner- and outer-sphere perturbation on electron delocalization. The solvent-dependent infrared spectra of [{Ru(NH 3 ) 5 } 2 (μ-Me 2 dicyd)] 3+, where Me 2 dicyd 2 - is the 2,5-dimethyl-1,4-dicyanamidobenzene dianion, yield evidence for a transformation from localized to delocalized behavior and confirm the effect of outer-sphere perturbation on the mixed-valence state. The IR spectrum of trans, trans -[{Ru(NH 3 ) 4 (py)} 2 (μ-Me 2 dicyd)] 3+ in acetonitrile is consistent with Class III properties, and this complex's properties can be regarded as benchmarks for delocalization in our systems. It is shown that this complex obeys the general condition for delocalization in symmetric mixed-valence complexes, 2 H = λ, and possesses an experimental free energy of resonance exchange Δ G r ‘ = 1250 cm - 1 and resonance exchange integral H = 3740 cm - 1 .

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.613
Threshold uncertainty score0.357

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.270
Teacher spread0.241 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations32
Published2001
Admission routes1
Has abstractyes

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Same venueJournal of the American Chemical SocietySame topicMetal complexes synthesis and propertiesFrench-language works237,207