Reversible Dissociation of (Se<sub>6</sub>I<sub>2</sub>)(AsF<sub>6</sub>)<sub>2</sub> in SO<sub>2</sub>(I)
Bibliographic record
Abstract
The dissociation of (Se6I2)(AsF6)2 in SO2(1) has been investigated by 77Se NMR spectroscopy at –80 °C involving both a natural-abundance sample as well as that containing selenium enriched in the 77Se-isotope (enrichment 92 %). In addition to the previously characterized cations Se6I2 2+, SeI3 +, 1,1,4,4-Se4I4 2+, Se10 2+, Se8 2+, and Se4 2+, the NMR spectra of the equilibrium solution exhibited additional resonances the assignment of which has been carried out by 77Se-77Se COSY, selective irradiation experiments, and spectral simulation. Combining this information with the trends in the chemical shifts as well as with iodine, selenium, and charge balances that were calculated from quantitative integrated intensities, the presence of cyclic cations Se7[+ and 1,4-Se7I2 2+, as well as acyclic Se2I+, and 1,1,6,6-Se6I4 2+(two rotamers) could be inferred. Upon evaporation of the solvent only Se6I22+ was found to be present in the solid state.
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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".