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Record W4210698277 · doi:10.26434/chemrxiv-2022-mbtxb

Rhodium Disulfur and Dioxygen Complexes: Examination of Boron Secondary Coordination Sphere Effects

2022· preprint· en· W4210698277 on OpenAlexafffund
Devon Facchinato, Joseph A. Zurakowski, Marcus W. Drover

Bibliographic record

VenueChemRxiv · 2022
Typepreprint
Languageen
FieldMedicine
TopicMetal complexes synthesis and properties
Canadian institutionsUniversity of Windsor
FundersNatural Sciences and Engineering Research Council of CanadaCouncil of Ontario UniversitiesUniversity of Windsor
KeywordsRhodiumChemistryBoraneCoordination sphereBoronBoranesAdductMedicinal chemistryKinetic energyDecompositionStereochemistryCrystallographyPhysical chemistryCatalysisOrganic chemistryCrystal structure

Abstract

fetched live from OpenAlex

A series of diphosphine-ligated rhodium(III) h2-peroxo and -persulfido compounds are targeted with one subset containing a boron-rich secondary coordination sphere (SCS). A systematic investigation using both experimental and theoretical methods has been performed to assess whether peripheral boranes can be used to engage with rhodium(III)-bound chalcogenides. For the model compound, [RhI(dnppe)2]BPh4 (dnppe = 1,2-bis(di-n-propylphosphino)ethane), adducts of the form [RhI(dnppe)2(h2-Ch2)]BPh4 (Ch = O or S) were characterized. For the octaboranyl compound, [RhI(P2BCy4)2]BPh4 (P2BCy4 = 1,2-bis(di(3-dicyclohexylboranyl)propylphosphino)ethane), however, treatment with O2 resulted in SCS decomposition via B—O bond formation, while reaction with 0.25 equivs. S8 provided [RhI(P2BCy4)2(2-S2)]BPh4, which based on variable-temperature 31P NMR spectroscopic measurements, does not exhibit a B—S interaction. Using a compound with a single pendant borane as a model, potential energy surface (PES) scans were found to suggest kinetic and thermodynamic feasibility of a B—O interaction with DG(B—O) = —2.5 kcal mol-1; a stationary point for the related B—S system was not located.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.489
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.032
GPT teacher head0.265
Teacher spread0.234 · 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

Citations0
Published2022
Admission routes2
Has abstractyes

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