TIN ORGANOMETALLIC COMPOUNDS: CLASSIFICATION AND ANALYSIS OF CRYSTALLOGRAPHIC AND STRUCTURAL DATA: PART II. DIMERIC DERIVATIVES
Bibliographic record
Abstract
This review covers the crystallographic data of organotin compounds containing two tin centres, with a view to identifying correlations between properties and structure.Almost two hundred and fifty such compounds are included, of which almost thirty contain Sn 2 +6 units with a direct Sn-Sn bond, the shortest being 269.1(1) pm.There are ten compounds with tin in the +2 oxidation state, with a shortest Sn(ll)-Sn(ll) bond distance of 276.4(2) pm.The remainder of the compounds contain tin(IV), and the shortest Sn(IV)-Sn(IV) distance is 294 pm.The predominant geometries for tin(IV) are tetrahedral and trigonal bipyramidal.Distortion and cis-trans isomerism are found, the former being most common.In one example of distortion isomerism crystallographically independent molecules occur within the same unit.Several types of bridging are observed between the tin centres.Relationships between bond distances, ligand size and angles are discussed in the respective sections.The most common bridge donor atom is oxygen.The most common carbon donor ligands are phenyl and methyl groups.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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".