Effects of Soaking with Salicylic Acid on Seeds Gernimation and Seedlings Growth of Pea(Pisum sativum)
Bibliographic record
Abstract
Effects of salicylic acid(SA)on germination of seeds and growth of seedlings of pea were studied,The results showed that,treated with 10-40 mg/L of SA,the germination energy and percentage were promoted by 12% and 10%;Treated with 40 mg/L of SA,the seedlings were remarkably increased 1.20 to 1.32 times in fresh and dry weigh than the control,Treated with 20 mg/L of SA,the respiratory rate of germinnationnal seeds and the root activity of seddlings were remarkably increased than the control,Treated by above 60 mg/L of SA,the conductivity was increased to 128% of ck,and some relevant indexes were lower than ck,at the same time,the growth of seedlings were inhibited.The experiments proved that thongh treatment with 40 mg/L of SA conld improve absorption of N and K,it wasn't appropriate to absorption of P from seedlings of pea.
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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) | 0.000 | 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 | 0.001 |
| 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".