Bibliographic record
Abstract
The experiments were conducted to determine the suitable testing method of moisture content of alfalfa (Medicago sativa) seeds,different moisture content samples were tested by applying high constant temperature oven drying,microwave heating and seed moisture meter. The results showed:seed moisture content could be accurately tested by the oven method,but it required long time and specific equipments. The seed moisture meter is limited in instrument measuring range to determine the variety of moisture content. The results obtained from microwave oven heating,drying continuous under the low-grade after 9 minutes,then heated again as 1 minute for the heating units to 3-5 times,were lower than high constant temperature oven drying,but it was useful for detecting high moisture content seeds in a short time. It would play an important role in understanding the change of alfalfa seeds moisture content during seed harvesting,processing and storage,guiding the seed production to maintain the high quality of seeds.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".