MAGNETIC RESONANCE IMAGE ANALYSIS TO EXPLAIN MOISTURE MOVEMENT DURING WHEAT DRYING
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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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".