Ligand Design for the Assembly of Polynuclear Complexes: Syntheses and Structures of Trinuclear and Tetranuclear Aluminum Alkyl Complexes Bearing Tripodal Diamidoselenophosphinito Ligands and a Comparison to Related Tripodal Triamidophosphine Complexes
Bibliographic record
Abstract
Reactions of the triaminophosphines P(CH 2 NHAr R ) 3 ( 1a − c, where Ar R = 3,5-(CF 3 ) 2 C 6 H 3 for a; Ar R = Ph for b, Ar R = 3,5-Me 2 C 6 H 3 for c ) with selenium afford the triaminophosphine selenides Se P(CH 2 NHAr R ) 3 ( 2a − c ). The phosphine selenides 2a − c react with 4 equiv of AlMe 3 at room temperature to generate the triangular trinuclear aluminum complexes [P(CH 2 NAr R ) 2 Se](AlMe 2 ) 3 ( 3a − c ). The byproduct of the formation of 3a was hydrolyzed and provided CH 3 CH 2 N(H)-3,5-(CF 3 ) 2 C 6 H 3 . When 2a − c are treated with excess AlMe 3, the corresponding tetranuclear Lewis acid−base adducts Me 3 Al·[P(CH 2 NAr R ) 2 Se](AlMe 2 ) 3 ( 4b, c ) are isolated. The reaction of P(CH 2 NHAr R ) 3 ( 1a − c ) with 2 equiv of AlMe 3 produces the dinuclear aluminum complexes P(CH 2 NAr R ) 3 Al 2 Me 3 ( 5a − c ). When 1b, c are reacted with excess AlMe 3, the Lewis acid−base adducts Me 3 Al·P(CH 2 NAr R ) 3 Al 2 Me 3 ( 6b, c ) are isolated. Solid-state molecular structures were determined for complexes 2a, 2b, 2c, 3a, 3c, 4b, 5a, and 6b by X-ray crystallography.
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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 | 0.001 |
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".