Bridging Rhodium–Iron Borataaminocarbyne Complexes Formed by Intramolecular Isonitrile–Borane Coordination
Bibliographic record
Abstract
Reaction of [(TXPB)Rh(μ-CO) 2 Fe(CO)Cp] ( 1; TXPB = 2,7-di- tert -butyl-5-diphenylboryl-4-diphenylphosphino-9,9-dimethylthioxanthene) with both aryl and alkyl isonitriles formed [(TXPB)Rh(μ-CO)(μ-CNR)Fe(CO)Cp] (R = C 6 H 4 Cl- p ( 2 ), Xyl ( 3 ), n Bu ( 4 ); Xyl = 2,6-dimethylphenyl), in which the CNRBR 3 unit is best described as a borataaminocarbyne ligand with single bonds between carbon and nitrogen and between nitrogen and boron. The carbon atom of the borataaminocarbyne ligand is doubly bound to iron and singly bound to rhodium. For comparison, borane-free [(TXPH)Rh(μ-CO) 2 Fe(CO)Cp] ( 5; TXPH = 2,7-di- tert -butyl-4-diphenylphosphino-9,9-dimethylthioxanthene) was prepared from [(TXPH)RhCl(CO)] and K[CpFe(CO) 2 ], and reaction of 5 with either 1 or 2 equiv of CNC 6 H 4 Cl- p afforded [(TXPH)Rh(CO)(μ-CNC 6 H 4 Cl- p ) 2 Fe(CO)Cp] ( 6 ), which contains two μ-isonitrile ligands and two terminal carbonyl ligands: one bound to iron and the other to rhodium. The C–N stretching frequency for 6 is 124 cm –1 higher than that for the TXPB CNC 6 H 4 Cl- p complex 2, and the Rh–(μ-CNR) and Fe–(μ-CNR) distances are notably longer than those in 2, and the C–N distance is shorter.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".