Bibliographic record
Abstract
目的：探讨Annexin V FITC／PI流式细胞术在检测姜黄素诱导的肝星状细胞（HSC）凋亡中的应用。方法：不同浓度姜黄素作用肝星状细胞株HSC—T624h，用Annexin V FITC／PI流式细胞术检测HSC凋亡。结果：姜黄素浓度为10μmol／L时，早期凋亡细胞开始增多，至30μmol／L时，坏死细胞开始增多，随姜黄素浓度增高，各组凋亡细胞随之增多。0、10、20、30、40μmol／L5组的凋亡率分别是（3．81±0．64）％、（6．52±1．88）％、（11．61±2．79）％、（52．03±4．38）％、（87．11±12．62）％，与0μmol／L组比较，20、30、40μmol／L3组的凋亡率差异有统计学意义（P〈0．05）。结论：Annexin V FITC／PI流式细胞术可定量检测姜黄素诱导的HSC早期凋亡。
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.081 | 0.015 |
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".