Flexible polymeric biomaterials from epoxidized soybean oil, epoxidized oleic acid, and citric acid as both a hardener and acid catalyst
Bibliographic record
Abstract
Abstract Flexible bio‐based polymeric materials were produced by combining epoxidized soybean oil (ESO), aqueous citric acid solutions, and varying amounts of epoxidized oleic acid (EOA), followed by heating at 95°C for 24 h. Starting materials were analyzed by way of proton nuclear magnetic resonance (H1 NMR), to confirm the conversion of double bonds in soybean oil or oleic acid to epoxides. Attenuated total reflectance Fourier‐transform infrared spectroscopy (ATR‐FTIR) was used to confirm the reaction of epoxide groups with citric acid and/or EOA. Tensile testing was done to determine the differences in Young's modulus between samples with varying amounts of EOA. Stiffness increased with decreasing EOA content. The stiffest sample (0% EOA) and most elastic sample (30% EOA) had a Young's modulus of 1.43 ± 0.19 MPa and 0.064 ± 0.004 MPa, respectively. Differential scanning calorimetry (DSC) showed that the glass transition temperature was below room temperature for all samples, and decreased with increasing EOA content.
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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) | 0.001 | 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".