The effect of cold plasma seed treatments on nodulation and plant growth in pea (<i>Pisum sativum</i>) and lentil (<i>Lens culinaris</i>)
Bibliographic record
Abstract
Abstract Cold plasma enhances various biological processes in plants. This study assessed the impact of cold plasma seed treatments on nodulation, root, and shoot growth in pea and lentil under controlled environmental conditions. Seeds were treated with cold plasma generated by a dielectric barrier discharge (DBD) and a pin electrode reactor (PER), with three different exposure durations (3, 6, and 12 min). At 4 weeks, notable enhancements were observed in nodule number and dry weight, root dry weight, length, volume, surface area, and shoot dry weight. The 3‐ and 6‐min exposure using the DBD and the 3‐min exposure using the PER system demonstrated the most significant increases or upward trends in these traits, highlighting the intricate nature of seed–plasma interactions.
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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) | 0.000 | 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".