Construction of Rhodium(I) and Gold(I) Macrocycles by Transferring a Phosphine-Functionalized 4,5-Diazafluorenide Ligand from Its Copper(I) N-Heterocyclic Carbene Complex
Bibliographic record
Abstract
We report the synthesis and characterization of a phosphine-functionalized 4,5-diazafluorene ligand, 9-(2-(diphenylphosphino)ethyl)-4,5-diazafluorene (L p H), and its Cu(IPr) complex (IPr = N,N ′-bis(2,6-diisopropylphenyl)imidazol-2-ylidene) [Cu(IPr)L p ] ( 2a ), which exhibits a monomeric structure in solution but dimerizes in the solid state. Compound 2a reacts with Rh(PPh 3 ) 3 Cl, [Rh(COD)Cl] 2, Au(SMe 2 )Cl, and Au(IPr)Cl to form the macrocyclic complexes [Rh(PPh 3 )L p ] 2 ( 2b ), [Rh(COD)L p ] 2 ( 2c ), and [AuL p ] 2 ( 2d ) and the mononuclear complex [Au(IPr)L p ] ( 2f ), respectively, via ligand transfer. Although 2b – d, f could also be synthesized from the deprotonated ligand L p – and the corresponding metal starting materials directly, the reactions require longer time and give lower yields. The reaction between L p H and Au(SMe 2 )Cl gives Au(L p H) 2 Cl ( 2e ) exclusively.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".