Changes in Intergranular Air Properties and Processing Quality of Paddy Stored in a Large Cooled Warehouse
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Bibliographic record
Abstract
This study investigated the relationship between the intergranular air properties of grain bulk and the quality of Japonica paddy stored in a large warehouse cooled by air conditioning (A/C) during oversummering. The psychrometric properties of the intergranular air such as relative humidity, humidity ratio, and wet-bulb temperature, were calculated by a software module. The 2569 tonnes of paddy with 14.5% moisture content (wet basis) was stored in a warehouse in Qihe County, Shandong Province, China, from 16 December 2019 to 9 September 2020. The grain temperature increased more rapidly near the top surface than in other layers of the paddy bulk, reaching the set temperature of 23 °C under A/C cooling, which started from storage day 174 (June 8, 2020). Two 14 kW A/C units (5.5 W t−1 paddy) were sufficient to maintain the set temperature of 23 °C in the headspace. The total electricity consumption was 9.2 kWh t−1 in the two cooling periods (June 8–August 10 and August 28–September 9). When the top surface was cooled by A/C, moisture transferred upwards from the bottom to top surface of the grain bulk, which created favorable conditions for insect growth and the whole grain bulk was fumigated from August 11 to 27. The quality indicators measured in different bulk layers did not change significantly during summer. Regression analysis shows that the percentages of milled rice and head rice, and the taste values and taste panel scores were significantly influenced by the cumulative intergranular air parameters in the paddy bulk. The results suggest that the cumulative intergranular air properties of the grain bulk are useful indicators for assessing the status of paddy stored in a large cooled warehouse.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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