Effect of Different Grading of Grain on Maize Seed Vigor and Plant Growth
Bibliographic record
Abstract
Taking Qi 319,9801,Chang 7-2,Zheng 58 and Ph 6 wc,five maize inbred lines of different grading of grain seed as the test material,by seed length,width,thickness and weight determination,seedling growth test,field seedling growth test,as well as plant growth and maturation index observation,had researched the influence on different grading grain of maize seed vigor and plant growth.The results showed that: among five maize inbred lines four to five grading grain type(big flat,big round,small flat,small round and no grading),the seed vigor of big flat was the highest.The majority of inbred line classification particle type on middle heading time period,plant height,ear height,blossom,blossom beginning period of flourishing period,spin,spin the flourishing period,early maturation time and grain number per spike showed no significant influence,but they has significant influence on the seed weight at harvest time.
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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".