MAGNETIC RESONANCE IMAGE ANALYSIS TO EXPLAIN MOISTURE MOVEMENT DURING WHEAT DRYING
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Bibliographic record
Abstract
Two-dimensional (2D) spin-echo magnetic resonance imaging (MRI) was used to explain the moisture movementin single wheat kernels prior to and during drying. Drying was performed at temperatures of 40C and 50C using heatedN2 gas at a velocity of 0.23 m/s. Individual wheat kernels of 20% to 64% moisture content (wet mass basis) were dried to studythe moisture movement inside the kernel during drying. MR images were recorded at equal time intervals during drying.Moisture distribution and transfer were analyzed from MR images of wheat kernels obtained before and during drying.Moisture distribution was non-uniform at an equilibrium state prior to drying. Further, moisture loss from the seed partsdiffered significantly during drying. The MR images were used to obtain the drying rates and patterns of water in wheat kernelsduring the drying process. Influence of grain parts on the moisture distribution was also studied using mechanically scarifiedkernels and germ-removed kernels.
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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 | 0.001 |
| 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