Bibliographic record
Abstract
Effects of Pb(Ⅱ)on seed germination and seeding growth of radish were studied,in order to provide theoretical basis for non polluted agriculture product.The experiments researched the effects on seed germination and seedling growth of radish with Pb(Ⅱ)treatments(0,50,150,300,600,800,1000mg/L).The results indicated that:(1)The effects of Pb(Ⅱ)on the germination percentage,germination energy,germination index and vigor index of radish seeds were not significant(p0.05)when Pb(Ⅱ)concentration was 50mg/L.The germination energy and vigor index were not significant(p0.05),but the germination percentage and germination index were significant(p0.05),when the concentration of Pb(Ⅱ)was 150mg/L.Once the Pb(Ⅱ)concentrations were higher than 300 mg/L,each index of germination were significantly different from control(p0.01).(2)The low concentrations Pb(Ⅱ)(50,150mg/L)had already inhibited root and bud growth of radish seedling.As the concentration increasing,the inhibition became more and more heavily,and the effect on root was stronger.(3)Under Pb(Ⅱ)treatments of different concentrations,the content of chlorophyll a and b of radish cotyledon decreased,but chlorophyll a was more sensitive than chlorophyll b.(4)The activity of SOD was up to the highest point at 50 mg/L of Pb(Ⅱ)concentration and decreased afterwards.With the concentration increasing,the activity of POD increased.The radish seedlings were more sensitive to Pb(Ⅱ)treatments.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".