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。
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".