Octa- and Nonamethylfluorene and an Electron-Rich Permethylfluorenyl Ruthenocene Derivative
Bibliographic record
Abstract
Two highly methylated fluorene derivatives have been synthesized and used for the preparation of mixed-ligand fluorenyl ruthenocenes. Specifically, reaction of 2,2‘,3,3‘,4,4‘,5,5‘-octamethylbiphenyl with paraformaldehyde in the presence of CF 3 CO 2 H provided 1,2,3,4,5,6,7,8-octamethylfluorene (C 13 Me 8 H 2 ), which was subsequently methylated by reaction with n -BuLi followed by addition of MeI to yield 1,2,3,4,5,6,7,8,9-nonamethylfluorene (C 13 Me 9 H). Reaction of the lithium fluorenyl derivatives with [Cp*RuCl] 4 generated the mixed-ligand ruthenocenes Cp*(C 13 Me 8 H)Ru and Cp*(C 13 Me 9 )Ru. Electrochemical measurements indicate that these ruthenocene derivatives undergo quasi-reversible oxidations at low potentials consistent with strongly donating character for the highly methylated fluorenyl ligands. X-ray diffraction studies on C 13 Me 8 H 2, C 13 Me 9 H, and Cp*(C 13 Me 9 )Ru revealed a twisted fluorene core in all cases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.001 |
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".