Analysis of the Apparent Viscosity of Starch in Aqueous Suspension within Agitation and Temperature by Using Rapid Visco Analyzer System
Bibliographic record
Abstract
This research relates to the analysis of a mathematical model for the interpretation of the apparent viscosity of starch aqueous suspensions during agitation, as well as the influence of the starch-water ratio in the pasting profiles. The thermal profile of the pasting test produces several changes in the starch-aqueous suspensions that can be evaluated through the complete knowledge of the physicochemical changes in the suspension, equations that governs the system and the instrumental conditions of the impeller viscometer. Differential scanning calorimetry (DSC) and rapid visco-profile of starch-water suspension, using the same heating rate and water-starch ration, were obtained in order to study the thermal and pasting changes of the starch-aqueous suspension as a function of the thermal profile and time, The use of the pasting profile, its first and second derivate as well as the DSC thermal profile, provide information about critical process taking place in the starch-water suspension such as the swelling and gelatinization processes that affect the rheological properties. The use of different starch/water ratios allows the determination of different pasting regimes.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".