Platinum organometallic complexes: classification and analysis of crystallographic and structural data for dimeric complexes
Bibliographic record
Abstract
Abstract This review covers over 260 examples of dimeric organoplatinum complexes. Platinum is predominantly found in the oxidation states +2 and +4, but with some examples of 0, +1, +2.5, +3, and of mixed-valence as well. A number of coordination state geometries are observed, of which the most common is essentially square-planar at Pt(II), a distorted octahedral at Pt(IV), and some examples of trigonal planar and trigonal bipyramidal as well. The most common ligands are methyl (Me), carbonyl and PX3. The shortest Pt-Pt bond distance is 245.1(1) pm. The mean Pt-Pt bond distance increases in the order: 261.1 pm [Pt(2.5)-Pt(2.5)]<261.3 pm [Pt(III)-Pt(III)]<262.4 pm [Pt(I)-Pt(I)]<270.3 pm [Ot(II)-Pt(II)]<277.2 pm [Pt(0)-Pt(0)]<282.6 pm [Pt(II)-Pt(II)]. The Pt…Pt no-bonding distances are: Pt(II)…Pt(II), 3.008–17.959 pm; Pt(IV)…Pt(IV), 327.5–768.0 pm; Pt(II)-Pt(0), 378.6 pm and Pt(II)…Pt(IV), 389 pm. There are several relationships pointed out between the Pt-Pt distances, Pt-X-Pt bridge angles and covalent radii of coordinated atoms. Several examples contain two crystallographically independent molecules within the same crystal, differing mostly by degree of distortion, which are examples of distortion isomerism.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".