MétaCan
Menu
Back to cohort
Record W2025196882 · doi:10.1139/v00-097

A solid-state <sup>133</sup>Cs nuclear magnetic resonance and X-ray crystallographic study of cesium complexes with macrocyclic ligands

2000· article· en· W2025196882 on OpenAlexfundvenueno aff
Alan Wong, Simon Sham, Suning Wang, Gang Wu

Bibliographic record

VenueCanadian Journal of Chemistry · 2000
Typearticle
Languageen
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsnot available
FundersNational Research Council CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryMonoclinic crystal systemCrystallographyCrystal structureCaesiumLigand (biochemistry)MoleculeAlkali metalSolid-state nuclear magnetic resonanceChemical shiftIonChemical formulaMetalNuclear magnetic resonanceInorganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

We report solid-state NMR determination of the 133 Cs chemical shift anisotropy (CSA) for a series of cesium complexes with macrocyclic ligands. It was found that the isotropic 133 Cs chemical shifts are related to the number of oxygen atoms to which the Cs + ion is coordinated. The 133 Cs chemical shifts were found to correlate with average Cs-O distances. We also attempt to use the established correlation to deduce Cs + coordination environment for compounds with unknown structures. We also report the X-ray determination of the crystal structure for Cs(DB18C6) 2 SCN•1/2CH 3 OH•1/2H 2 O. The compound crystallizes in monoclinic, a = 14.503(2), b = 15.152(3), c = 39.989(6) Å, β = 90.796(8)°, space group P2 1 /c, Z = 8. There are two independent molecules in the asymmetric unit cell where each of the two Cs + ions is coordinated to two DB18C6 ligand molecules forming a sandwich-type structure.Key words: solid state NMR, alkali metal, 133 Cs chemical shift, macrocyclic ligand, crystal structure.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.006
GPT teacher head0.228
Teacher spread0.222 · 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

Citations17
Published2000
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of ChemistrySame topicAdvanced NMR Techniques and ApplicationsFrench-language works237,207