A new method of syntheses of 18-membered macrocyclic diphenyltin(IV) compounds and crystal structures of {Ph<sub>2</sub>Sn[S(C<sub>6</sub>H<sub>3</sub>NO)O]}<sub>3</sub>·Y (Y = 2H<sub>2</sub>O or 4C<sub>6</sub>H<sub>6</sub>) and {Ph<sub>3</sub>Sn[S(C<sub>6</sub>H<sub>3</sub>NO)O]SnPh<sub>3</sub>(EtOH)}·[EtOH]
Bibliographic record
Abstract
Two diphenyltin(IV) compounds: {Ph2Sn[S(C6H3NO)O]}3·Y (Y = 2H2O, 1; 4C6H6, 2) have been unexpectedly obtained by the reactions of triphenyltin chloride with 2-mercaptonicotinic acid in the presence of Et3N. However, by the reaction of the same reactants in the presence of EtONa, only a new triphenyltin(IV) compound ({Ph3Sn[S(C6H3NO)O]SnPh3(EtOH)}·[EtOH], 3) was obtained. The X-ray analyses reveal that compounds 1 and 2 are trinuclear, 18-membered macrocyclic compounds while 3 is a dinuclear compound. Specially, π-π stacking interaction was recognized in crystals of compound 1, which makes it a dimer. Co-crystallization was found in the crystals of all the three compounds 1, 2, and 3, the co-crystallized solvent molecules are water, benzene, and ethanol molecules, respectively. A possible dephenylation mechanism of 1 and 2 was illustrated in detail.Key words: triphenyltin, 2-mercaptonicotinic acid, dephenylation, macrocyclic, π-π stacking interaction, co-crystallization, crystal structure.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".