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Record W4283591702 · doi:10.1002/ejic.202200164

Organometallic Chemistry of the Difluorodithiophosphate Anion

2022· article· en· W4283591702 on OpenAlexafffund
Quentin Gaydon, D. Scott Bohle

Bibliographic record

VenueEuropean Journal of Inorganic Chemistry · 2022
Typearticle
Languageen
FieldChemistry
TopicOrganometallic Compounds Synthesis and Characterization
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryLabilityRutheniumReactivity (psychology)Ligand (biochemistry)StereochemistryOxidation stateMedicinal chemistryOrganometallic chemistryGroup 2 organometallic chemistryMetalIonMoleculeCrystal structureCrystallographyCatalysisOrganic chemistryReceptor

Abstract

fetched live from OpenAlex

Abstract An improved synthetic route of [NnPr4][S2PF2] was devised, and its structure was determined. This unusual dithiophosphate is a good ligand for low valent metal centers and examples of this being hydrolytically stable ruthenium complexes RuH(CO)(S2PF2)(PPh3)2, RuCl(CO)(S2PF2)(PPh3)2 and Ru(S2PF2)2(PPh3)2. Taken together these results give an insight into the bonding of the S2PF2 anion to low oxidation state complexes. A comparison of the structural features and reactivity of the complexes with other known Ru(II) complexes is presented. Ru(S2PF2)2(PPh3)2 was successfully carbonylated to give a complex with monohapto and dihapto S2PF2 ligands, Ru(CO)(η1‐S2PF2)(η2‐S2PF2)(PPh3)2 confirming the lability of the fluorothiophosphate anion. Isomers of this latter complex have been structurally characterized with cis and trans PPh3.

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 score0.006

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 head0.007
GPT teacher head0.170
Teacher spread0.164 · 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

Citations4
Published2022
Admission routes2
Has abstractyes

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