Silicon‐, Germanium‐, Tin‐, and Lead‐Containing Polymers
Bibliographic record
Abstract
With the exception of carbon, which is a non-metal, a wide variety of macromolecular structures containing Group IVA main group elements are discussed in this chapter. Most of the work has been done with silicon-containing structures because of the industrial importance of polysiloxanes, polysilanes, polycarbosilanes, polysilazanes and oligomeric silsesquioxanes. Tin-containing macromolecules have also received a great deal of attention, much of it driven by the biological activities of the organotin compounds. The variety of germanium-containing products is greatly reduced compared to tin and silicon mainly because of its expense and the lack of suitable commercially available starting materials. The least well studied of the Group IVA-containing macromolecules are those of lead, possibly because of their generally poor solubility and toxicity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.054 | 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; both teacher heads agree on what is shown here.
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".