Application of an Obstruction-Scaling Model To Diffusion of Vitamin B<sub>12</sub>and Proteins in Semidilute Alginate Solutions
Bibliographic record
Abstract
Pulsed field gradient nuclear magnetic resonance (PFG-NMR) was used to measure tracer diffusion coefficients of vitamin B 12 and globular proteins (myoglobin, β-lactoglobulin, ovalbumin, and bovine serum albumin) in semidilute alginate solutions under physiological conditions (pH 7.4, ionic strength 0.22 M). The long-time diffusion behavior can be predicted by an obstruction-scaling model, which assumes that the semidilute polymer solutions can be treated as a static network during the diffusion time scale, and the contributions of hydrodynamic interactions and electrostatic interactions to diffusion can be neglected. Arguments are given in support of these assumptions, which are expected to be valid only when the size of the probe is much larger than the polymer chain. The model was also applied to literature data of protein diffusion in flexible and inflexible polymer solutions, and it was found to be predictive. Moreover, it is demonstrated that, at equal polymer solution mesh sizes, probe diffusion is not influenced by the polymer chain flexibility.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".