Bibliographic record
Abstract
以“美人’梅离体培养的叶片为材料进行愈伤组织诱导再生研究，诱导过程分两步，第一步是愈伤组织的诱导，诱导过程中生长素2,4-D起了决定性的作用，并且以液体培养基为佳，而且暗培养的愈伤组织再分化率明显高于光培养。具体培养基为1／2WPM＋5mg／L 2,4-D；第二步是在愈伤组织诱导出之后，进一步诱导愈伤组织再生出植物，在经过7d液体培养基的诱导之后将离体叶片转入1／2WPM＋1．0mg／L 6-BA＋0．1mg／L NAA＋8mg／L AgNO3＋100mg／L水解乳蛋白培养，再分化率可以达到24．25％。愈伤组织分化出苗之后，进一步诱导生根，“美人”梅最佳生根培养基是1／2WPM＋0．5mg／L NAA。
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".