Comparison of the Association Level of a Pyrene-Labeled Associative Polymer Obtained from an Analysis Based on Two Different Models
Bibliographic record
Abstract
A hydrophobically modified alkali swellable emulsion copolymer (HASE) was labeled with pyrene and its fluorescence behavior was monitored by steady-state and time-resolved fluorescence as increasing amounts of the surfactant sodium dodecyl sulfate (SDS) were added to the solution. In aqueous solution, the pyrene pendants are aggregated. As SDS is added, the surfactant binds to the pyrene aggregates, which leads to their breakup at an onset SDS concentration of 1.25 x 10(-3) mol/L. The breakup of the pyrene aggregates is complete at 4.25 x 10(-3) mol/L, which is slightly larger than the critical micellar concentration of SDS in 0.01 M Na(2)CO(3) aqueous solution at pH 9 found to equal 3.5 x 10(-3) mol/L by surface tension measurements. The pyrene pendants were present as different species in solution, and the fractions representative of all emissive pyrene species were determined from the global analysis of the monomer and excimer fluorescence decays. Two analyses were applied to the decays. In the first analysis, the diffusional encounters between pyrene pendants were described by the blob model. In the second analysis, no assumptions were made on how the pyrene pendants encountered each other. Both analyses yielded identical results which demonstrate that the determination of the fractions of the different emissive pyrene species of a solution of a pyrene-labeled associative polymer does not depend on the model chosen to account for the diffusional encounters taking place between pyrene pendants.
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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) | 0.000 | 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) | 0.001 | 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".