Factors Influencing the Size of PEO Complexes with a Tyrosine-Rich Polypeptide
Bibliographic record
Abstract
Aqueous complexes of PEY1, a 36 100 Da random synthetic peptide of tyrosine (50 mol %) and glutamic acid (50 mol %), with poly(ethylene oxide) (PEO) were studied as functions of PEO molecular weight, mixing ratio of PEO and PEY1, and the presence of calcium ions. Without calcium ions, the complexes were water soluble, with each complex consisting of a single PEO chain with many bound PEY1 chains. In the presence of 1 mM calcium ions, PEY1 formed colloidal aggregates with intermediate molecular weight PEO (10(5) to 10(6) Da). By contrast, very high molecular weight PEO (8 x 10(6) Da) with calcium ions formed large hydrogels when mixed with PEY1. It is proposed that PEY1 molecules completely bind to low molecular PEO and thus are deactivated from causing the coupling of multiple PEO chains, whereas deactivation of PEY1 on very high molecular weight PEO clusters is a slower process, giving an opportunity for cluster-cluster aggregation.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".