Effect of edible coatings on fruit maturity and fungal growth on <scp>B</scp>erhi dates
Bibliographic record
Abstract
Summary Berhi date palm fruits were harvested at the khalal stage, coated with different edible materials: pea starch (PS), zein protein (ZP), pea starch + carnauba wax (PS + CW) and zein protein + carnauba wax (ZP + CW) and stored at 3 or 25 °C for 21 days. Different fruit maturity indicators (colour, firmness, total soluble solids, moisture and tannins) and fungal numbers were monitored during storage. PS and ZP coatings at 3 °C were the most effective in retarding fruit maturation by extending the khalal stage from 7 to >14 days. They were less effective at 25 °C, where the khalal stage was extended only ≤7 days. PS + CW and ZP + CW coatings prevented sample moisture loss, but they accelerated degradation of simple sugars at 25 °C, and this indicated a shift to anaerobic fruit respiration. The PS + CW and ZP + CW coatings, particularly at 3 °C, were the most effective in preventing fungal growth, whereas the PS coating promoted fungal growth.
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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) | 0.000 | 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) | 0.001 | 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".