Response Surface Methodology in Rheological Characterization of Papaya Puree
Bibliographic record
Abstract
The individual and interactive effects of temperature (5–65°C), total soluble solids (TSS) (10–30°Brix), pH (3–7), and α-amylase concentration [(0.25–1.25)kg 100 kg−1 puree] on rheological characteristics of papaya (Carcia papaya L.) puree were studied by the application of the response surface methodology (RSM) using a computer controlled rotational viscometer. Papaya puree exhibited pseudoplasticity with yield stress and flow following Herschel-Bulkley model. A quadratic model developed for rheological parameters met all the criteria of good fit and provided information for characterizing the effect of different variables. It was observed that temperature, TSS and pH individually and in combination affected consistency index (P<0.05) while flow behavior index was significantly influenced by all four factors (P<0.05). The temperature and enzyme concentration considerably affected apparent viscosity.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".