Effects of Different Disinfectants on Sterilization and Germination of Allium ramosum L.
Bibliographic record
Abstract
The experiment was conducted to find out the best sterilization method for Allium ramosum seeds through investigating effects of different disinfectant agents and disinfectant methods on the A. ramosum seeds. A. ramosum seeds were disinfected with 1% copper sulfate,10% sodium hypochlorite,0. 1% potassium permanganate and 1% formalin,distilled water as a control,in addition,the A. ramosum seeds were scrubed or not during every kind of disinfectant was designed in this experiment. The germination rate,seed infection rate,germination index and cumulative germination were analyzed. The results showed that,the highest germination index and cumulative germination is occurred on the seeds disinfected by 10% sodium hypochlorite,0. 1% Potassium permanganate was the second. But,0. 1% Potassium permanganate was the best disinfector in antibacterial property. Based on all analyzed information,we suggested that the best sterilization methods was disinfected A. ramosum seeds with 0. 1% Potassium permanganate for 20-30 minutes.
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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 | 0.000 |
| 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".