[2]Ferrocenophanes with Nitrogen in Bridging Positions
Bibliographic record
Abstract
Three [2]ferrocenophanes ([2]FCPs) bridged by nitrogen and silicon ( 7 SiMe2 ) and nitrogen and tin ( 7 SnMe2, 7 Sn t Bu2 ) were synthesized by salt metathesis between a dilithioferrocene derivative, prepared in situ from 1-bromo-1′-(trimethylsilylamino)ferrocene ( 6 ), and Me 2 SiCl 2, Me 2 SnCl 2, and t Bu 2 SnCl 2, respectively. A multistep synthesis of precursor 6 is described. Only 7 SiMe2 and 7 Sn t Bu2 could be prepared as analytically pure compounds. The molecular structures of all three [2]FCPs were determined by single-crystal X-ray analysis. Expectedly, the tilting of the Cp ligands in the silicon species 7 SiMe2 is larger [α = 15.73(13)°] than in the tin compounds 7 SnMe2 [α = 9.36(17) and 9.45(18)°] and 7 Sn t Bu2 [α = 10.13(11)°]. Ring-opening polymerizations of 7 SiMe2 and 7 Sn t Bu2 were attempted using the common methods of thermal, transition-metal-catalyzed, anionic, and photocontrolled ring-opening polymerization, but none of the experiments gave polymeric materials.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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) | 0.013 | 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 teacher head, 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".