Bibliographic record
Abstract
Quality characteristics (moisture, protein, ash, bulk density, falling number, damaged kernel, and foreign material) of 443 domestic wheat samples harvested between 2011 and 2013 were compared with those of 160 imported wheat samples from the United States, Australia, and Canada. Moisture content of domestic wheat (10.9∼13.9%) was generally higher than that of imported wheat (8.0∼12.6%). Large variation in protein content was found in domestic wheat compared to imported wheat even though variation in protein content of domestic wheat tended to decrease every year, implying quality control efforts for domestic wheat. A similar trend was observed in ash content, which was approximately 0.1% higher in domestic wheat kernels over 3 years. Imported wheat samples had a falling number of 300 or above. On the other hand, some domestic wheat samples had a falling number of 300, which meant low quality of wheat kernels. Generally, quality variations in domestic wheat kernels decreased over the years; however, it is necessary to maintain minimum requirements of moisture content and falling number for high and consistent quality domestic wheat.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".