Preparation of Porous Organogels Using Water Soluble Polymer Templates
Bibliographic record
Abstract
This study presents a new method for the preparation of organogels embedded with interconnected macropores tunable in size from 180 to 700 μm. The gels are molded in porous polyvinyl alcohol (PVOH) polymer templates obtained from melt‐processed cocontinuous blends of PVOH and poly(ε‐caprolactone) (PCL). The blends are subsequently annealed under quiescent conditions to let their morphology coarsen, and are rendered porous by selectively extracting the PCL. After the injection in the PVOH molds and in situ gelling of a dilute solution of an organic liquid and a low molecular weight gelling agent, 12‐hydroxyoctadecanoic acid, the molds are extracted with water. This yields porous organogels with microstructural features corresponding relatively well to those of the original molds, as revealed by X‐ray microtomography. This method allows control over the gels' average pore size, pore interconnectivity, and volume fraction, and is compatible with a variety of organic liquids and low molecular weight gelators. image
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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".