The Selection of Inhibitors Combination to Inhibit Pre-harvest Sprouting In Rice and Study on Eletrophoretic Analysis
Bibliographic record
Abstract
Quadratic orthogonal regressive rotation design of three factors was applied to study the effect of MH、PP333、S-07 on seed germination and Eletrophoretic Analysis of inhibitors to inhibit amylase. The result showed that the effect of inhibitor on seed germination is MHS-07PP333.The best combination is as following MH 9.55 mg/L+ PP333 95.46 mg/L+ S-07 1 104.54 mg/L.In theory, the percent of ungerminated seed is 62% by the inhibitor combination treatment, that is highly more than ck.The band of Amylase in seed of G 46 A and D 62 A is same as that of ck by the inhibitor combination treatment in mature stage; whereas the inhibitor combination is effective to inhibit seed spayed GA germinated. The band of Amylase in geminated seed is not inhibited by the inhibitor combination .so the mechanism of the inhibitor combination inhibiting the seed germination may be inhibit the synthesis of the band of Amylase to inhibit or delay the seed germination.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".