Bibliographic record
Abstract
Capsella bursa-pastoris(L.) Medic is an important green stuff resource from the family Cruciferae.However,its exploitations were limited due to the seed dormancy and low germination rate.In order to find the optimal methods for breaking dormancy and improving germination,the seed germination characteristics of C.bursa-pastoris under different temperature and exogenous hormones treatments were studied in this paper.The results showed that 15 ℃ treatment can lead to dormancy breaking in some degree,and also increase seed germination rate(23.33%).Gibberellic acid treatments are the best way for breaking dormancy and improving germination of C.bursa-pastoris seeds.Higher concentration of IAA(50 mg/L) and long time seed soaking(36 h) will even inhibit the seed germination.Based on the integrate analysis,the optimal exogenous hormones treatment for seed germination is 200 mg/L gibberellic acid and soaking seeds for 36 h.
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".