Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Hydrogels are used in a wide variety of fields, including separation processes such as chromatography, the encapsulation of cells for both biomedical and fermentation purposes, in biosensors, and as biomaterials for the delivery of bioactive agents to the body as well as scaffolds for tissue engineering and regenerative medicine. Further, diffusion of small molecules, globular proteins and colloidal particles in aqueous polymer solutions is important for drug diffusion in biological fluids and in the release of drugs from formulations such as tablets. The one feature of hydrogels and polymer solutions that all these applications capitalize upon is the ability of the polymer chains in solution to restrict the diffusive movement of a solute. For design purposes it would be useful to have a mathematical expression that provides reliable estimates of solute diffusion coefficients within hydrogels. In this talk, the development and utility of a model based on obstruction effects will be presented and its ability to predict solute diffusion coefficients within hydrogels and polymer solutions demonstrated.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 it