The Study of Five Diffient Insecticides on Security of Two Turf Grasses in Seedling
Bibliographic record
Abstract
Five diffient insecticides on security of perennial ryegrass and red fescue in seedling was studied.The results showed that length of the root and radical of the two turf grasses exhibited a decrease trend,and the inhibitory activity was much distinctness,as the concentration of five insecticides increased from o to 2 000 mg/L,Inhibitory rate of triclopyr was the most severity,its EC50 was 227.25 mg/L,inhibitory rate was all100% at 500 mg/L concentration.While inhibitory rate of pyridaben was slightest and its EC50 was 1 322.17 mg/L.The inhibitory activity of root and radcial length of perennial ryegrass and red fescue was respectively 77.58%、38.55% and 89.33%、81.58%,the other insecticides were also toxic and theirs EC50 were between 227.25 mg/L and 1 322.17 mg/L,the order was diazinonbenalaxylpropoxur.lower concentration of propoxur had an obviously advanced effect on the length of perennial ryegrass root and the length of red fescue root and radical,the positive effect rate was 41.15%、26.09% and 61.17% at 50 mg/L concentration.The correlation of logarithm with inhibitory rate of the length of root and radicall on perennial ryegrass and red fescue in seedling was all above 0.9.The sensitivity with five insecticides was perennial ryegrass rootred fescue rootred fescue radicalperennial ryegrass radical,there were no prominent diffience among them.
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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) | 0.000 | 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) | 0.001 | 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".