Analysis of Fruit Character Variance Based on Checking Seed Time on Rice
Bibliographic record
Abstract
This paper takes rice as the research subject,as to the mature rice harvested in the same day,sampling and checking seed daily from the first day of harvest,in order to analyze and check fruiting characteristics such as fruiting rate,abortive grain rate,percentage of unfilled grains,1 000-grain weight and so on.Based on checking seed continuously for 10 days to study the fruiting characteristics differences caused by different time of checking seed. The research result shows that with the delay of time of checking seed,fruiting rate decreases; abortive grain rate increases; 1 000-grain weight tends to fall; the correlation between percentage of unfilled grains and time of checking seed is not obvious. It is revealed that if the seed is checked after three days of harvest,differences of fruiting rate,abortive grain rate and 1 000-grain weight are not obvious,but from the fourth day,fruiting rate and 1 000-grain weight fall rapidly while abortive grain rate rises significantly.Based on the relationship between fruit character and time of checking seed,it is suggested that production structure analysis of cereal crops such as rice is done within three days of harvest,avoiding the deviation of relative analysis conclusion caused by the delay.
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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 | 0.001 |
| 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 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".