Management strategy evaluation of stored grain using global sensitivity analysis: Part II – allowable maximum variations of temperatures and moisture contents of hemp seeds and durum wheat
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Bibliographic record
Abstract
To avoid spoilage of stored grain, the allowable maximum variations of temperatures and moisture contents of different grain types should be characterized. Using the global sensitivity analysis method and procedure which were described in Part I, this study answered the following questions: what is the allowed maximum variation of grain moisture content when the average moisture content is at the recommended safe storage moisture content? What is the allowed maximum temperature variation? Whether should a large variation of initial germination be considered during the development of storage plan? Mathematical models published in literature for predicting germination reduction of hemp seeds and durum wheat were coded in Symbiology and Simulink for conducting more than 4000 simulations. Random and normal distributions of temperatures, moisture contents, and initial germinations were simulated. The simulated temperatures, moisture contents, and initial germinations were the same as that presented in Part I. The simulations concluded that hemp seeds were more sensitive to temperature than durum wheat and storing hemp seeds at ≥ 23 °C or storing wheat at ≥ 28 °C was a risk regardless of the moisture content. The storage risk level from high to low at the same condition was hemp seeds, canola, and durum wheat. The allowable maximum standard error of moisture content for one third of the safe storage time was 0.1 and 0.5 percentage point at any temperature for hemp seeds and durum wheat, respectively. Interaction effects between temperature and moisture content were more significant along with the increase of storage time. • Global SA and simulations were conducted to answer research questions. • The storage risk from high to low was hemp seeds, canola, and durum wheat. • The safe storage time of hemp seeds was significantly shorter than that of wheat. • Interaction effects were more significantly along with the increase of storage time. • Allowed moisture variation of hemp seeds and durum was 0.1 and 0.5; respectively.
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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 | 0.002 | 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