Element Accumulated Effect of Thallium on Leaves and Seeds of Oryza sativa L.
Bibliographic record
Abstract
The distribution of thallium in leaf and seed of rice(Oryza sativa L.) were studied,and thallium effects on necessary and unnecessary element contents of rice were also researched.The results showed that the concentration of thallium in leaf was much more than that in seed.Thallium would disturb other elements distribution and absorption in rice.The different elements had different accumulation rules in leaf and seed of rice.In leaf,the necessary elements such as iron(Fe),manganese(Mn) and the unnecessary elements such as aluminum(Al),iron(Fe),nickel(Ni) and barium(Ba) would get less along with content of thallium increasing in soil.In seed,the necessary elements such as manganese(Mn),copper(Cu) and the unnecessary elements such as nickel(Ni) and barium(Ba) would get less either.But the content of boron(B),molybdenum(Mo),silver(Ag),lead(pb) and cobalt(Co) would increase.
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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".