Synthesis and structures of selected benzamidinates of Li, Na, Al, Zr and Sn(ii) using the C1-symmetric ligands [N(SiMe3)C(C6H4Me-4 or Ph)NPh]?
Bibliographic record
Abstract
Several compounds based on the C(1)-symmetric ligands [N(R)C(Ar)NPh]- [abbreviated as B1 (Ar = C(6)H(4)Me-4) or B2 (Ar = Ph), R = SiMe(3)] are reported. They are the crystalline metal benzamidinates [Li(mu:kappa2-B1)(OEt2)](2) (1), [Al(kappa2-B1)2Me] (2), [Al(kappa2-B1)2X] [X = Cl/Me, 1 : 1 (3)], [Sn(kappa2-B1)2] (4), Zr(kappa2-B1)2Cl2 (5), [Zr(kappa2-B1)3Cl] (6), [Na(mu:kappa2-B1)(tmeda)]2 (7), K[B1] (8), Li(B2)(OEt2) (9) and Zr(kappa2-B1)3Cl (10) and the known benzamidine Z-H2NC(C6H4Me-4) = NPh (11). They were prepared by (i) insertion of the nitrile 4-MeC6H4CN (1, 7, 8, 11) or PhCN (9) into the appropriate M-N(R')Ph [R' = R and M = Li (1, 9), Na (7), K (8)] bond and subsequent hydrolysis for 11 [R' = H and M = Li], or (ii) a ligand transfer reaction using the lithium amidinate 1 and Al(Me)2Cl (2, 3), SnCl2 (4) or ZrCl4 (5, 6), or Li(B2) and ZrCl4 (10). The X-ray structures of 1, 2, 3, 4, 6b (i.e..3PhMe) 7, and 11 are presented. Exploratory polymerisation experiments are described, using 2, 5 or 6 as a procatalyst with methylaluminoxane (MAO) (Al : Zr ca. 500 : 1) as promoter. Thus toluene solutions were exposed to C2H4 under ambient conditions; while 2 was unresponsive, 5 and 6 showed modest activity in the formation of polyethylene.
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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 | 0.000 |
| 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".