Stabilisation of [WF<sub>5</sub>]<sup>+</sup> and WF<sub>5</sub> by Pyridine: Facile Access to [WF<sub>5</sub>(NC<sub>5</sub>H<sub>5</sub>)<sub>3</sub>]<sup>+</sup> and WF<sub>5</sub>(NC<sub>5</sub>H<sub>5</sub>)<sub>2</sub>
Bibliographic record
Abstract
Abstract The enhanced reactivity of [WF 5 ] + over WF 6 has been exploited to access a neutral derivative of elusive WF 5 . The reaction of WF 6 (NC 5 H 5 ) 2 with [(CH 3 ) 3 Si(NC 5 H 5 )][O 3 SCF 3 ] in CH 2 Cl 2 results in quantitative formation of trigonal‐dodecahedral [WF 5 (NC 5 H 5 ) 3 ] + , which has been characterised as its [O 3 SCF 3 ] − salt by Raman spectroscopy in the solid state and variable‐temperature NMR spectroscopy in solution. The salt is susceptible to slow decomposition in solution at ambient temperature via dissociation of a pyridyl ligand, and the resultant [WF 5 (NC 5 H 5 ) 2 ] + is reduced to WF 5 (NC 5 H 5 ) 2 in the presence of excess C 5 H 5 N, as determined by 19 F NMR spectroscopy. Pentagonal‐bipyramidal WF 5 (NC 5 H 5 ) 2 was isolated and characterised by X‐ray crystallography and Raman spectroscopy in the solid state, representing the first unambiguously characterised WF 5 adduct, as well as the first heptacoordinate adduct of a transition‐metal pentafluoride. DFT‐B3LYP methods have been used to investigate the reduction of [WF 5 (NC 5 H 5 ) 2 ] + to WF 5 (NC 5 H 5 ) 2 , supporting a two‐electron reduction of W VI to W IV by nucleophilic attack and diprotonation of a pyridyl ligand in the presence of free C 5 H 5 N, followed by comproportionation to W V .
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.007 |
| Meta-epidemiology (narrow) | 0.017 | 0.019 |
| Meta-epidemiology (broad) | 0.014 | 0.008 |
| Bibliometrics | 0.004 | 0.012 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.014 | 0.010 |
| Research integrity | 0.009 | 0.024 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".