Bibliographic record
Abstract
Before study showed that four wild flower seeds i.e.Trollius chinensis,Aconitum barbatum var.puberulum,Papaver naudicaule and Veronicastrum sibiricum have lower germination rate in low temperature condition.Germination rate and germination potention promoted obviously,and the germination process accerlated through different temperature,different GA concention and light cycle treatment.The result showed that seed germination rate increased to 84% from 4%of control which treatmented with 500 mg/L GA3,then putting Trollius chinensis seed in 25 ℃ and 8 h light +16 h dark,and Aconitum barbatum var.puberulum and Veronicastrum sibiricum seed get germination rate increased to 82.4% from 20% of control which treatmented with 500 mg/L GA3,then put in 15 ℃、12 h light +12h dark,and 100% comparing 17.3%of control for Veronicastrum sibiricum,separately;Germination rate of Papaver naudicaule seed increased to 61.3% from 29.3% of contro which treatmented with 125 mg/L GA3 and putting under 15 ℃,24 h light.
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 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".