Effects of gibberellic acid and magnetically treated water on physiological characteristics of <i>Tilia miqueliana</i> seeds
Bibliographic record
Abstract
Cold stratification of Tilia miqueliana M. seeds with different pretreatments of gibberellic acid (GA3) and (or) magnetically treated water (MTW) to break the dormancy and obtain higher and more uniform germination has been studied well. However, there is no complete and uniform theory explaining the effects of MTW or the interaction between MTW and GA3 on seed germination and dormancy breaking. During cold stratification, nutritional contents of soluble sugar, soluble protein, and starch and enzyme activities of α-amylase and protease were evaluated and showed significant changes in treated seeds. The MTW–GA3 treatment produced the biggest changes. For seeds treated with MTW–GA3, soluble sugar content reached the maximum value and protein and starch contents suffered the largest decline after 30 days of cold stratification. The maximum values of α-amylase and protease activities were both observed in seeds treated with MTW–GA3, and they were 216.67% and 67.58% higher, respectively, than corresponding control values. These changes in treated seeds could be triggering the fast germination and dormancy breaking.
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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".