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Record W2577865864 · doi:10.1002/anie.201611534

Coordination of KrF<sub>2</sub> to a Naked Metal Cation, Mg<sup>2+</sup>

2017· article· en· W2577865864 on OpenAlexafffund
Matic Lozinšek, Hélène P. A. Mercier, David S. Brock, Boris Žemva, Gary J. Schrobilgen

Bibliographic record

VenueAngewandte Chemie International Edition · 2017
Typearticle
Languageen
FieldChemistry
TopicInorganic Fluorides and Related Compounds
Canadian institutionsMcMaster University
FundersResearch Executive AgencyNatural Sciences and Engineering Research Council of CanadaJavna Agencija za Raziskovalno Dejavnost RS
KeywordsChemistryLigand (biochemistry)MetalCoordination complexKryptonCovalent bondTransition metalCoordination numberNaked eyeCrystallographyInorganic chemistryPhotochemistryIonOrganic chemistryArgon

Abstract

fetched live from OpenAlex

Abstract Examples of coordination compounds in which KrF 2 functions as a ligand are very rare. In contrast, XeF 2 provides a rich coordination chemistry with a variety of main‐group and transition metal cations. The reactions of Mg(AsF 6 ) 2 and KrF 2 in HF or BrF 5 solvent have afforded [Mg(KrF 2 ) 4 (AsF 6 ) 2 ] and [Mg(KrF 2 ) 4 (AsF 6 ) 2 ]⋅2 BrF 5 , respectively, the first examples of a metal cation ligated by KrF 2 . Their X‐ray crystal structures and Raman spectra show that the KrF 2 ligands and [AsF 6 ] − anions are F‐coordinated to a naked Mg 2+ cation. Quantum‐chemical calculations are consistent with essentially non‐covalent ligand‐metal bonding. These compounds significantly extend the XeF 2 –KrF 2 analogy and the limited chemistry of krypton by introducing a new class of coordination compound in which KrF 2 functions as a ligand towards a naked metal cation.

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 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 score0.030
Threshold uncertainty score0.829

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 science0.0010.000
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 head0.011
GPT teacher head0.241
Teacher spread0.231 · 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

Citations19
Published2017
Admission routes2
Has abstractyes

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