Bibliographic record
Abstract
This chapter presents an insight into the field of polymers and functional materials featuring phosphorus in the main chain. It focuses on recent achievements in this still growing field that combines inorganic and polymer chemistry. One of the oldest and largest classes of P-based polymers are the polyphosphazenes. Due to their high biocompatibility, polyphosphazenes have attracted attention in nanomedicine as fluorescent agents for cell imaging or for controlled drug delivery. Polyphosphazenes are also desirable additives to construction materials due to their flame retardant properties and their corrosion and solvent resistance makes them attractive as seals or gaskets for demanding applications. A well-established class of phosphorus-containing polymers are macromolecules consisting of phosphorus and boron, the so-called poly(phosphinoborane)s. High-molecular-weight poly(phenylphosphinoborane)s are of great interest due to their potential use as luminescent semiconductors, precursors to boron phosphide, and as electron-beam resists for metal-free lithography.
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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) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.010 |
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".