MétaCan
Menu
Back to cohort
Record W2333781012 · doi:10.1107/s0108767308081786

β-Hydroquinone acetonitrile clathrate: insight into host–guest chemistry

2008· article· en· W2333781012 on OpenAlexaff
H.F. Clausen, Mark A. Spackman, Bo B. Iversen

Bibliographic record

VenueActa Crystallographica Section A Foundations of Crystallography · 2008
Typearticle
Languageen
FieldChemistry
TopicMolecular Sensors and Ion Detection
Canadian institutionsDalhousie University
Fundersnot available
KeywordsClathrate hydrateHydroquinoneAcetonitrileHost (biology)ChemistryHost–guest chemistryOrganic chemistryMoleculeHydrateSupramolecular chemistryBiology

Abstract

fetched live from OpenAlex

The development of cationic square-planar complexes of the heavier metals has emerged as an important theme in modern organometallic research, since such species are among the most active and widely used classes of homogeneous catalysts [1].However, the range of experimental conditions under which such cationic species can be employed is limited.Furthermore, the systematic design of cationic catalysts is complicated and can influence catalytic performance in a negative manner.In this context, a new class of neutral, cationic, and formally zwitterionic Rh(I) complexes featuring organic ligands have been prepared and structurally characterized [2].We will present here the accurate analysis of the charge density based on higher-intensity synchrotron radiation at 100 K for both Rh zwitterion (C25H37NPRh) and its analogous cation (C26H38F3NO3PRhS).Experimental deformation densities allow a first qualitative view of the nonspherical density and reveal fine details, coherent with the chemistry of the molecules.The topological analysis of the total electron density will be discussed.The accurate analysis of the charge density gives a better insight into the subtle electronic variations between the Rh cation and zwitterions as well as the specific origins of the differing reactivity properties of the structurally related cationic and zwitterionic Rh complexes.Experimental electron densities will be then compared to theoretical quantum chemistry calculations, in order to quantify the effects of polarization on the electron density and their contribution to intermolecular interaction energies.[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 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.011
GPT teacher head0.225
Teacher spread0.215 · 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
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

Citations0
Published2008
Admission routes1
Has abstractno

Explore more

Same venueActa Crystallographica Section A Foundations of CrystallographySame topicMolecular Sensors and Ion DetectionFrench-language works237,207