Predicting the Consumer Acceptability of Dried MD2 and Smooth Cayenne Pineapple Pulps from Chemical Composition
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Drying of pineapple (Ananas comosus) pulp enhances shelf life while assuring all-year-round availability of pineapple in different forms. The difficulty in selecting suitable fruit pulps for producing acceptable dried pulp needs to be addressed in order to reduce variability in dried pineapple pulps and predict consumer acceptability. MD2 and Smooth cayenne fruits were used for the study. Relationships existing between chemical and sensory characteristics of oven-dried pineapple pulps were determined using standard procedures. While a strong positive correlation was found between total soluble solids (TSS) and taste (SC=0.98; MD2=0.99) a negative association was found between TSS and crispness (SC=-0.98; MD2=-0.99) as well as between total titratable acidity (TTA) and taste (SC=-0.99; MD2=-0.98). The study showed that TSS of the fresh fruit was the single most important predictor of overall acceptability of dehydrated pulps. TSS of fresh fruits could therefore be used to select fresh pulps for dehydration.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 it