Gas-phase experiments on the chemistry and coordination of Zn(II) by aprotic solvent molecules
Bibliographic record
Abstract
Experiments have been performed in the gas phase on a series of doubly charged zincligand complexes to elucidate their solvation structure and available fragmentation pathways. Production of such complexes was achieved by the formation of neutral argonligand clusters followed by the subsequent addition of a single zinc atom using a pickup technique. Multiply charged ions were then produced by electron impact within a high resolution, double-focusing mass spectrometer. Studies have been undertaken on a number of zinc(II) aprotic solvent complexes including those consisting of argon and carbon dioxide in association with the zinc cation. Investigation of these novel metalsolvent clusters took the form of recorded parent ion intensity distributions and the measurement of fragmentation patterns promoted via collision-induced dissociation (CID). Discussion of the intensity distributions is presented in terms of the solvation of Zn(II) by each solvent, drawing on existing theoretical and experimental data from the gaseous and condensed phases. Investigation of collision-induced dissociation processes includes identifying charge transfer reactions in each solvated system, and analysis of the results in terms of kinetic energy release as well as possible mechanisms for fragmentation pathways. Key words: zinc, clusters, dications, gas phase, solvation.
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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) | 0.001 | 0.000 |
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".