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.
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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".