Measured and predicted temperatures in a grain processing building under heat treatment – 2. Mathematical modeling of heat and mass transfer during heat treatment
Why this work is in the frame
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Bibliographic record
Abstract
Jian, F., P.G. Fields, D.S. Jayas, N.D.G. White and M. Loganathan. 2012. Measured and predicted temperatures in a grain processing building under heat treatment – 2. Mathematical modeling of heat and mass transfer during heat treatment. Canadian Biosystems Engineering/Le genie des biosystemes au Canada 54:3.93.17. Heat treatment to control pest insects in grain processing facilities is becoming more widely used because the fumigant methyl bromide has generally been phased out due to its atmosphere ozone-depleting characteristics. Models with finite difference method, using realistic boundary conditions, were developed to predict the heat and mass transfer that occurred on a concrete floor, in the presence and absence of grain, inside a heattreated building. Temperatures measured every 2 min at 0.5 m below the ceiling and 0.05 m above the bare concrete floor and room relative humidity (RH) were used to model temperature and water loss inside wheat and oats. Temperatures on the surface of the concrete floor and in the grain measured every 2 min during the heat treatment were used to verify and validate the developed models. The maximum and minimum residues between the measured and predicted temperatures of the concrete floors under grain were 3.2°C and -2.8°C, respectively. The larger residues were mostly located at the beginning of the heat treatment. After concrete floor temperatures reached 25°C, the residues between the measured and calculated temperatures of concrete floors under grain were less than ±1°C. These residues were also less than the differences between the temperatures measured in different replicates.
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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 | 0.000 | 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) | 0.000 | 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