Influence of variety, concentration, and temperature on the steady shear flow behavior and thixotropy of canary seed (<i>Phalaris canariensis</i>) starch gels
Bibliographic record
Abstract
In this study, the rheological properties of starch gels from two varieties of canary seeds (CDC Maria and CO5041) were investigated. The experimental conditions were different concentrations (4, 6, and 8% w/w at constant temperature of 25°C) and temperatures (25, 40, 55, and 70°C at constant concentration of 6%). All samples showed shear‐thinning and thixotropy behavior at studied conditions. The power‐law model (R2 = 0.940–0.987; RMSE = 1.297–15.325) and Casson models (R2 = 0.861–0.975; RMSE = 0.211–0.917) were selected to describe time‐independent behavior of the samples. In addition, the first‐order stress‐decay model (R2 = 0.89–0.98 and RMSE = 2.84–20.79) described the time‐dependent behavior of canary seed starch samples in the study well. The CO5041 starch gel had higher pseudoplasticity at different concentrations than CDC Maria. Both starches exhibited the same shear‐thinning behavior with increasing temperature. With increasing concentration, the canary seed starch samples showed more shear‐sensitive thixotropic nature and faster rupture rate. The CO5041 starch gel exhibited higher extent of thixotropy than CDC Maria starch gel at different concentrations.
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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 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".