Effects of 2,4-D Seed Soaking Treatment on Leek Seed Germination and Seedling Early Growth
Bibliographic record
Abstract
The leek seed of different concentrations and different time of 2,4-D solution soaking treatment was studied,the results showed that: 0.5-10 mg/L 2,4-D solution soaking promoted seed germination,100 mg/L 2,4-D solution soaking inhibited seed germination,and 0.5-1 mg/L 2,4-D solution soaking promoted seedling growth significantly.vigor index,root length,plant weight gained the maximum value under 1 mg/L 2,4-D solution soaking,and it had significant inhibition for growth of the seedling above 10 mg/L 2,4-D solution soaking.1 mg/L 2,4-D solution soaking had the best effect on leek seed germination and seedling growth.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Horticultural experiment on 2,4-D seed soaking and leek germination; the object is plant growth.
The experiment studies herbicide effects on leek germination rather than research practice.
Seed science experiment on 2,4-D soaking and leek germination; plant physiology.
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) | 0.001 | 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".