Zinc, Cadmium, and Mercury Metallocenes Incorporating 1,2-Diaza-3,5-diborolyl Ligands
Bibliographic record
Abstract
Sandwich compounds incorporating 1,2-diaza-3,5-diborolidine ligands have been prepared by metathesis reactions between zinc, cadmium, and mercury dihalides and M[cyclo-MeC(BR) 2 (N i Pr) 2 ] (M = Li, K; R = Me, Ph). The metallocenes M[cyclo-MeC(BR) 2 (N i Pr) 2 )] 2 (M = Zn, R = Me ( 2a ), Ph ( 2b ); M = Cd, R = Me ( 3a ), Ph ( 3b ); M = Hg, R = Me ( 4a )) have been isolated and characterized by multinuclear NMR and mass spectrometry. The molecular structures of complexes 2a, b, 3a ·BrLi(THF) 3, 3b, and 4a were determined by single-crystal X-ray diffraction and displayed strong similarities to the structures of their cyclopentadienyl analogues. All molecules are monomeric in the solid state, containing nearly parallel ligands featuring an η 3 coordination mode in 2a and η 1 coordination modes in the remaining complexes. Spectroscopic evidence indicates that the solid-state structure is maintained in solution and that Lewis basic solvents have the ability to coordinate reversibly to the metal centers. For comparison, the σ-bonded analogues [cyclo-MeC(BR) 2 (N i Pr) 2 ]SiCl 3 (R = Me ( 5a ), Ph ( 5b )) were prepared, and the structure of 5b was determined using single-crystal X-ray diffractometry.
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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".