Coordination of a Di-<i>tert</i>-butylphosphidoboratabenzene Ligand to Electronically Unsaturated Group 10 Transition Metals
Bibliographic record
Abstract
A new boratabenzene-phosphine ligand, di- tert -butylphosphidoboratabenzene, [DTBB] −, has successfully been synthesized by reduction of the corresponding di- tert -butylchlorophosphidoborabenzene compound ( 2 ). The species was structurally characterized with both K + ( 3 ) and 18-crown-6·K + ( 4 ) as counterions. Reactions of two equivalents of di- tert -butylphosphidoboratabenzene with NiBr 2 (PPh 3 ) 2, PtCl 2, and PtCl 2 (COD) were undertaken and were successful in yielding three new organometallic boratabenzene species, (μ-κ-η 6 -C 5 H 5 BP( t Bu) 2 ) 2 Ni 2 ( 5 ), (η 3 -(C,B,P)-C 5 H 5 BP( t Bu) 2 ) 2 Pt ( 6 ), and (η 3 -(C,B,P)-C 5 H 5 BP( t Bu) 2 )(κ-C 8 H 12 (P( t Bu) 2 BC 5 H 5 )Pt ( 7 ), respectively. The di- tert -butylphosphidoboratabenzene species displays a remarkable tendency to coordinate to transition metal species in two distinct modes closely associated with other reported boratabenzene and allyl-like interactions. Also of interest is the ability for di- tert -butylphosphidoboratabenzene to be able to coordinate within monomeric as well as dimeric transition metal compounds. The synthesis and characterization will be discussed in detail along with DFT calculations in order to validate these research findings.
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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".