Bis(6-diphenylphosphinoacenaphth-5-yl)telluride as a ligand toward coinage metal chlorides
Bibliographic record
Abstract
The use of bis(6-diphenylphosphinoacenaphth-5-yl)tellurium (6-Ph2P-Ace-5-)2Te (6) as a ligand for complex formation reactions with CuCl and AgCl is reported, giving rise to the formation of 1 : 1 complexes (6-Ph2P-Ace-5-)2Te·CuCl (7) and (6-Ph2P-Ace-5-)2Te·AgCl (8). The reaction of 6 with (tht)AuCl or (CO)AuCl failed to provide the analogous complex (6-Ph2P-Ace-5-)2Te·AuCl (9), but gave the recently reported (6-diphenylphosphinoacenaphth-5-yl)gold dimer (6-Ph2P-Ace-5-Au)2 (10) and (6-diphenylphosphinoacenaphth-5-yl)tellurenyl chloride, (6-Ph2P-Ace-5-Te)Cl (11). The reaction of 6, 7 and 8 with PhICl2 provided diarylchlorotelluronium chloride [(6-Ph2P-Ace-5-)2TeCl]Cl (12). Compounds 7, 8 and 12 were characterized by multinuclear NMR spectroscopy and single-crystal X-ray crystallography. DFT computations of 6, 7, 8, [(6-Ph2P-Ace-5-)2TeCl]+ (12') and [(8-Me2N-Nap-1-)2TeCl]+ (13') were carried out including a variety of real-space bonding indicators (RSBI) derived from the Atom-In-Molecules (AIM) and the Electron Localizability Indicator (ELI-D) space partitioning schemes. Furthermore, the non-covalent interaction (NCI) index was applied to examine the nature of the Te-X interactions (X = Cu, Ag, P, N, Cl) and complement the AIM and ELI-D approaches.
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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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".