Bibliographic record
Abstract
Objective:To explore the optimum condition on germination of Millettia speciosa Champ.in order to provide guidance for seedling breeding,we studied the germination characters.Methods:Shapes,weights per thousand seeds and content of moisture were observed.The germination rates of the seeds were determined under different soaking time,different illumination and temperature treatments,and the correlation among them were measured.The difference of germination rate,germination index,numbers of initial germination and germination days were also compared.Results:The mean length and width of seeds were 1 042.24 mm,925.34 mm,respectively.Length to width ratio 1.13.weights per thousand seeds was 45.00 g and content of moisture was 2.51%.Seeds under soaking time for 24 hours gained the highest germination rate when other conditions were the same.Germination rate under illumination was significantly higher than those under dark.With the increase of temperature,the germination rate raise firstly and then fell,and 25-30 ℃ was optimum.Different beds had influence on germination rate,while top of paper obtained the highest rate and index,the maximum numbers of initial germination and the shortest germination days.Conclusion:Top of paper,soaking time for 24 hours,25 ℃,illumination were the optimum condition for seed germination of Millettia speciosa Champ.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".