Polymers with Sulfur(VI)−Nitrogen−Phosphorus Backbones: Synthesis, Characterization, and Properties of Poly[(dialkylamino)thionylphosphazenes]
Bibliographic record
Abstract
Aminolysis of the chlorinated poly(thionylphosphazene) [NSOCl(NPCl 2 ) 2 ] n ( 2a ) with several secondary amines NHR 2 (diethylamine, piperidine, and pyrrolidine) yielded various hydrolytically stable poly[(amino)thionylphosphazenes] [NSO(NR 2 ){NP(NR 2 ) 2 } 2 ] n 6 ( a, NR 2 = piperidine; b, NR 2 = pyrrolidine) in which chlorine atoms at both the phosphorus center and sulfur were replaced. In addition, treatment of 2a with different equivalents of several secondary amines (diethylamine, piperidine, and pyrrolidine), followed by addition of excess of n -butylamine, lead to a series of mixed-substituent poly[(amino)thionylphosphazenes] [NSO(NHR‘){NP(NR 2 ) 2 } 2 ] n 7 (NHR‘ = n -butylamine; a − c, NR 2 = diethylamine; d, e, NR 2 = piperidine; f, NR 2 = pyrrolidine). The new moisture stable polymers were characterized by 31 P, 13 C, and 1 H NMR spectroscopy and elemental analysis. The molecular weights of the polymers 6a, 6b and 7a − 7f were in the range of M̄ w = 3.4 × 10 4 −1.1 × 10 5 and M̄ n = 3.1 × 10 3 −5.0 × 10 4 according to GPC analysis in THF versus polystyrene standards. The thermal transition behavior was investigated by means of DSC. Glass transition temperatures ( T g 's) of the poly[(amino)thionylphosphazenes] 6a, 6b and 7a − 7f depend on the content of secondary amine versus primary amine and were in the range of −13 to +27 °C. No melt transitions were detected.
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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".